Overview

Dataset statistics

Number of variables366
Number of observations42,833
Missing cells2,186,757
Missing cells (%)13.9%
Total size in memory119.6 MiB
Average record size in memory2.9 KiB

Variable types

Numeric360
Categorical4
Unsupported2

Warnings

EINGEFUEGT_AM has a high cardinality: 1608 distinct values High cardinality
AKT_DAT_KL has 6889 (16.1%) missing values Missing
ALTER_HH has 6889 (16.1%) missing values Missing
ALTER_KIND1 has 40820 (95.3%) missing values Missing
ALTER_KIND2 has 42071 (98.2%) missing values Missing
ALTER_KIND3 has 42632 (99.5%) missing values Missing
ALTER_KIND4 has 42794 (99.9%) missing values Missing
ALTERSKATEGORIE_FEIN has 8118 (19.0%) missing values Missing
ANZ_HAUSHALTE_AKTIV has 7627 (17.8%) missing values Missing
ANZ_HH_TITEL has 8146 (19.0%) missing values Missing
ANZ_KINDER has 6889 (16.1%) missing values Missing
ANZ_PERSONEN has 6889 (16.1%) missing values Missing
ANZ_STATISTISCHE_HAUSHALTE has 7627 (17.8%) missing values Missing
ANZ_TITEL has 6889 (16.1%) missing values Missing
ARBEIT has 7783 (18.2%) missing values Missing
BALLRAUM has 7641 (17.8%) missing values Missing
CAMEO_DEU_2015 has 7740 (18.1%) missing values Missing
CAMEO_DEUG_2015 has 7740 (18.1%) missing values Missing
CAMEO_INTL_2015 has 7740 (18.1%) missing values Missing
CJT_GESAMTTYP has 578 (1.3%) missing values Missing
CJT_KATALOGNUTZER has 578 (1.3%) missing values Missing
CJT_TYP_1 has 578 (1.3%) missing values Missing
CJT_TYP_2 has 578 (1.3%) missing values Missing
CJT_TYP_3 has 578 (1.3%) missing values Missing
CJT_TYP_4 has 578 (1.3%) missing values Missing
CJT_TYP_5 has 578 (1.3%) missing values Missing
CJT_TYP_6 has 578 (1.3%) missing values Missing
D19_BANKEN_ONLINE_QUOTE_12 has 7526 (17.6%) missing values Missing
D19_GESAMT_ONLINE_QUOTE_12 has 7526 (17.6%) missing values Missing
D19_KONSUMTYP has 7526 (17.6%) missing values Missing
D19_LETZTER_KAUF_BRANCHE has 7526 (17.6%) missing values Missing
D19_LOTTO has 7526 (17.6%) missing values Missing
D19_SOZIALES has 7526 (17.6%) missing values Missing
D19_TELKO_ONLINE_QUOTE_12 has 7526 (17.6%) missing values Missing
D19_VERSAND_ONLINE_QUOTE_12 has 7526 (17.6%) missing values Missing
D19_VERSI_ONLINE_QUOTE_12 has 7526 (17.6%) missing values Missing
DSL_FLAG has 7627 (17.8%) missing values Missing
EINGEFUEGT_AM has 7627 (17.8%) missing values Missing
EINGEZOGENAM_HH_JAHR has 6889 (16.1%) missing values Missing
EWDICHTE has 7641 (17.8%) missing values Missing
EXTSEL992 has 15809 (36.9%) missing values Missing
FIRMENDICHTE has 7627 (17.8%) missing values Missing
GEBAEUDETYP has 7627 (17.8%) missing values Missing
GEBAEUDETYP_RASTER has 7627 (17.8%) missing values Missing
GEMEINDETYP has 7784 (18.2%) missing values Missing
GFK_URLAUBERTYP has 578 (1.3%) missing values Missing
HH_DELTA_FLAG has 9619 (22.5%) missing values Missing
HH_EINKOMMEN_SCORE has 642 (1.5%) missing values Missing
INNENSTADT has 7641 (17.8%) missing values Missing
KBA05_ALTER1 has 8537 (19.9%) missing values Missing
KBA05_ALTER2 has 8537 (19.9%) missing values Missing
KBA05_ALTER3 has 8537 (19.9%) missing values Missing
KBA05_ALTER4 has 8537 (19.9%) missing values Missing
KBA05_ANHANG has 8537 (19.9%) missing values Missing
KBA05_ANTG1 has 8537 (19.9%) missing values Missing
KBA05_ANTG2 has 8537 (19.9%) missing values Missing
KBA05_ANTG3 has 8537 (19.9%) missing values Missing
KBA05_ANTG4 has 8537 (19.9%) missing values Missing
KBA05_AUTOQUOT has 8537 (19.9%) missing values Missing
KBA05_BAUMAX has 8537 (19.9%) missing values Missing
KBA05_CCM1 has 8537 (19.9%) missing values Missing
KBA05_CCM2 has 8537 (19.9%) missing values Missing
KBA05_CCM3 has 8537 (19.9%) missing values Missing
KBA05_CCM4 has 8537 (19.9%) missing values Missing
KBA05_DIESEL has 8537 (19.9%) missing values Missing
KBA05_FRAU has 8537 (19.9%) missing values Missing
KBA05_GBZ has 8537 (19.9%) missing values Missing
KBA05_HERST1 has 8537 (19.9%) missing values Missing
KBA05_HERST2 has 8537 (19.9%) missing values Missing
KBA05_HERST3 has 8537 (19.9%) missing values Missing
KBA05_HERST4 has 8537 (19.9%) missing values Missing
KBA05_HERST5 has 8537 (19.9%) missing values Missing
KBA05_HERSTTEMP has 7627 (17.8%) missing values Missing
KBA05_KRSAQUOT has 8537 (19.9%) missing values Missing
KBA05_KRSHERST1 has 8537 (19.9%) missing values Missing
KBA05_KRSHERST2 has 8537 (19.9%) missing values Missing
KBA05_KRSHERST3 has 8537 (19.9%) missing values Missing
KBA05_KRSKLEIN has 8537 (19.9%) missing values Missing
KBA05_KRSOBER has 8537 (19.9%) missing values Missing
KBA05_KRSVAN has 8537 (19.9%) missing values Missing
KBA05_KRSZUL has 8537 (19.9%) missing values Missing
KBA05_KW1 has 8537 (19.9%) missing values Missing
KBA05_KW2 has 8537 (19.9%) missing values Missing
KBA05_KW3 has 8537 (19.9%) missing values Missing
KBA05_MAXAH has 8537 (19.9%) missing values Missing
KBA05_MAXBJ has 8537 (19.9%) missing values Missing
KBA05_MAXHERST has 8537 (19.9%) missing values Missing
KBA05_MAXSEG has 8537 (19.9%) missing values Missing
KBA05_MAXVORB has 8537 (19.9%) missing values Missing
KBA05_MOD1 has 8537 (19.9%) missing values Missing
KBA05_MOD2 has 8537 (19.9%) missing values Missing
KBA05_MOD3 has 8537 (19.9%) missing values Missing
KBA05_MOD4 has 8537 (19.9%) missing values Missing
KBA05_MOD8 has 8537 (19.9%) missing values Missing
KBA05_MODTEMP has 7627 (17.8%) missing values Missing
KBA05_MOTOR has 8537 (19.9%) missing values Missing
KBA05_MOTRAD has 8537 (19.9%) missing values Missing
KBA05_SEG1 has 8537 (19.9%) missing values Missing
KBA05_SEG10 has 8537 (19.9%) missing values Missing
KBA05_SEG2 has 8537 (19.9%) missing values Missing
KBA05_SEG3 has 8537 (19.9%) missing values Missing
KBA05_SEG4 has 8537 (19.9%) missing values Missing
KBA05_SEG5 has 8537 (19.9%) missing values Missing
KBA05_SEG6 has 8537 (19.9%) missing values Missing
KBA05_SEG7 has 8537 (19.9%) missing values Missing
KBA05_SEG8 has 8537 (19.9%) missing values Missing
KBA05_SEG9 has 8537 (19.9%) missing values Missing
KBA05_VORB0 has 8537 (19.9%) missing values Missing
KBA05_VORB1 has 8537 (19.9%) missing values Missing
KBA05_VORB2 has 8537 (19.9%) missing values Missing
KBA05_ZUL1 has 8537 (19.9%) missing values Missing
KBA05_ZUL2 has 8537 (19.9%) missing values Missing
KBA05_ZUL3 has 8537 (19.9%) missing values Missing
KBA05_ZUL4 has 8537 (19.9%) missing values Missing
KBA13_ALTERHALTER_30 has 7841 (18.3%) missing values Missing
KBA13_ALTERHALTER_45 has 7841 (18.3%) missing values Missing
KBA13_ALTERHALTER_60 has 7841 (18.3%) missing values Missing
KBA13_ALTERHALTER_61 has 7841 (18.3%) missing values Missing
KBA13_ANTG1 has 7841 (18.3%) missing values Missing
KBA13_ANTG2 has 7841 (18.3%) missing values Missing
KBA13_ANTG3 has 7841 (18.3%) missing values Missing
KBA13_ANTG4 has 7841 (18.3%) missing values Missing
KBA13_ANZAHL_PKW has 7841 (18.3%) missing values Missing
KBA13_AUDI has 7841 (18.3%) missing values Missing
KBA13_AUTOQUOTE has 7841 (18.3%) missing values Missing
KBA13_BAUMAX has 7841 (18.3%) missing values Missing
KBA13_BJ_1999 has 7841 (18.3%) missing values Missing
KBA13_BJ_2000 has 7841 (18.3%) missing values Missing
KBA13_BJ_2004 has 7841 (18.3%) missing values Missing
KBA13_BJ_2006 has 7841 (18.3%) missing values Missing
KBA13_BJ_2008 has 7841 (18.3%) missing values Missing
KBA13_BJ_2009 has 7841 (18.3%) missing values Missing
KBA13_BMW has 7841 (18.3%) missing values Missing
KBA13_CCM_0_1400 has 7841 (18.3%) missing values Missing
KBA13_CCM_1000 has 7841 (18.3%) missing values Missing
KBA13_CCM_1200 has 7841 (18.3%) missing values Missing
KBA13_CCM_1400 has 7841 (18.3%) missing values Missing
KBA13_CCM_1401_2500 has 7841 (18.3%) missing values Missing
KBA13_CCM_1500 has 7841 (18.3%) missing values Missing
KBA13_CCM_1600 has 7841 (18.3%) missing values Missing
KBA13_CCM_1800 has 7841 (18.3%) missing values Missing
KBA13_CCM_2000 has 7841 (18.3%) missing values Missing
KBA13_CCM_2500 has 7841 (18.3%) missing values Missing
KBA13_CCM_2501 has 7841 (18.3%) missing values Missing
KBA13_CCM_3000 has 7841 (18.3%) missing values Missing
KBA13_CCM_3001 has 7841 (18.3%) missing values Missing
KBA13_FAB_ASIEN has 7841 (18.3%) missing values Missing
KBA13_FAB_SONSTIGE has 7841 (18.3%) missing values Missing
KBA13_FIAT has 7841 (18.3%) missing values Missing
KBA13_FORD has 7841 (18.3%) missing values Missing
KBA13_GBZ has 7841 (18.3%) missing values Missing
KBA13_HALTER_20 has 7841 (18.3%) missing values Missing
KBA13_HALTER_25 has 7841 (18.3%) missing values Missing
KBA13_HALTER_30 has 7841 (18.3%) missing values Missing
KBA13_HALTER_35 has 7841 (18.3%) missing values Missing
KBA13_HALTER_40 has 7841 (18.3%) missing values Missing
KBA13_HALTER_45 has 7841 (18.3%) missing values Missing
KBA13_HALTER_50 has 7841 (18.3%) missing values Missing
KBA13_HALTER_55 has 7841 (18.3%) missing values Missing
KBA13_HALTER_60 has 7841 (18.3%) missing values Missing
KBA13_HALTER_65 has 7841 (18.3%) missing values Missing
KBA13_HALTER_66 has 7841 (18.3%) missing values Missing
KBA13_HERST_ASIEN has 7841 (18.3%) missing values Missing
KBA13_HERST_AUDI_VW has 7841 (18.3%) missing values Missing
KBA13_HERST_BMW_BENZ has 7841 (18.3%) missing values Missing
KBA13_HERST_EUROPA has 7841 (18.3%) missing values Missing
KBA13_HERST_FORD_OPEL has 7841 (18.3%) missing values Missing
KBA13_HERST_SONST has 7841 (18.3%) missing values Missing
KBA13_HHZ has 7841 (18.3%) missing values Missing
KBA13_KMH_0_140 has 7841 (18.3%) missing values Missing
KBA13_KMH_110 has 7841 (18.3%) missing values Missing
KBA13_KMH_140 has 7841 (18.3%) missing values Missing
KBA13_KMH_140_210 has 7841 (18.3%) missing values Missing
KBA13_KMH_180 has 7841 (18.3%) missing values Missing
KBA13_KMH_210 has 7841 (18.3%) missing values Missing
KBA13_KMH_211 has 7841 (18.3%) missing values Missing
KBA13_KMH_250 has 7841 (18.3%) missing values Missing
KBA13_KMH_251 has 7841 (18.3%) missing values Missing
KBA13_KRSAQUOT has 7841 (18.3%) missing values Missing
KBA13_KRSHERST_AUDI_VW has 7841 (18.3%) missing values Missing
KBA13_KRSHERST_BMW_BENZ has 7841 (18.3%) missing values Missing
KBA13_KRSHERST_FORD_OPEL has 7841 (18.3%) missing values Missing
KBA13_KRSSEG_KLEIN has 7841 (18.3%) missing values Missing
KBA13_KRSSEG_OBER has 7841 (18.3%) missing values Missing
KBA13_KRSSEG_VAN has 7841 (18.3%) missing values Missing
KBA13_KRSZUL_NEU has 7841 (18.3%) missing values Missing
KBA13_KW_0_60 has 7841 (18.3%) missing values Missing
KBA13_KW_110 has 7841 (18.3%) missing values Missing
KBA13_KW_120 has 7841 (18.3%) missing values Missing
KBA13_KW_121 has 7841 (18.3%) missing values Missing
KBA13_KW_30 has 7841 (18.3%) missing values Missing
KBA13_KW_40 has 7841 (18.3%) missing values Missing
KBA13_KW_50 has 7841 (18.3%) missing values Missing
KBA13_KW_60 has 7841 (18.3%) missing values Missing
KBA13_KW_61_120 has 7841 (18.3%) missing values Missing
KBA13_KW_70 has 7841 (18.3%) missing values Missing
KBA13_KW_80 has 7841 (18.3%) missing values Missing
KBA13_KW_90 has 7841 (18.3%) missing values Missing
KBA13_MAZDA has 7841 (18.3%) missing values Missing
KBA13_MERCEDES has 7841 (18.3%) missing values Missing
KBA13_MOTOR has 7841 (18.3%) missing values Missing
KBA13_NISSAN has 7841 (18.3%) missing values Missing
KBA13_OPEL has 7841 (18.3%) missing values Missing
KBA13_PEUGEOT has 7841 (18.3%) missing values Missing
KBA13_RENAULT has 7841 (18.3%) missing values Missing
KBA13_SEG_GELAENDEWAGEN has 7841 (18.3%) missing values Missing
KBA13_SEG_GROSSRAUMVANS has 7841 (18.3%) missing values Missing
KBA13_SEG_KLEINST has 7841 (18.3%) missing values Missing
KBA13_SEG_KLEINWAGEN has 7841 (18.3%) missing values Missing
KBA13_SEG_KOMPAKTKLASSE has 7841 (18.3%) missing values Missing
KBA13_SEG_MINIVANS has 7841 (18.3%) missing values Missing
KBA13_SEG_MINIWAGEN has 7841 (18.3%) missing values Missing
KBA13_SEG_MITTELKLASSE has 7841 (18.3%) missing values Missing
KBA13_SEG_OBEREMITTELKLASSE has 7841 (18.3%) missing values Missing
KBA13_SEG_OBERKLASSE has 7841 (18.3%) missing values Missing
KBA13_SEG_SONSTIGE has 7841 (18.3%) missing values Missing
KBA13_SEG_SPORTWAGEN has 7841 (18.3%) missing values Missing
KBA13_SEG_UTILITIES has 7841 (18.3%) missing values Missing
KBA13_SEG_VAN has 7841 (18.3%) missing values Missing
KBA13_SEG_WOHNMOBILE has 7841 (18.3%) missing values Missing
KBA13_SITZE_4 has 7841 (18.3%) missing values Missing
KBA13_SITZE_5 has 7841 (18.3%) missing values Missing
KBA13_SITZE_6 has 7841 (18.3%) missing values Missing
KBA13_TOYOTA has 7841 (18.3%) missing values Missing
KBA13_VORB_0 has 7841 (18.3%) missing values Missing
KBA13_VORB_1 has 7841 (18.3%) missing values Missing
KBA13_VORB_1_2 has 7841 (18.3%) missing values Missing
KBA13_VORB_2 has 7841 (18.3%) missing values Missing
KBA13_VORB_3 has 7841 (18.3%) missing values Missing
KBA13_VW has 7841 (18.3%) missing values Missing
KK_KUNDENTYP has 25035 (58.4%) missing values Missing
KKK has 8303 (19.4%) missing values Missing
KONSUMNAEHE has 6926 (16.2%) missing values Missing
KONSUMZELLE has 7627 (17.8%) missing values Missing
LP_FAMILIE_FEIN has 578 (1.3%) missing values Missing
LP_FAMILIE_GROB has 578 (1.3%) missing values Missing
LP_LEBENSPHASE_FEIN has 578 (1.3%) missing values Missing
LP_LEBENSPHASE_GROB has 578 (1.3%) missing values Missing
LP_STATUS_FEIN has 578 (1.3%) missing values Missing
LP_STATUS_GROB has 578 (1.3%) missing values Missing
MIN_GEBAEUDEJAHR has 7627 (17.8%) missing values Missing
MOBI_RASTER has 7627 (17.8%) missing values Missing
MOBI_REGIO has 8537 (19.9%) missing values Missing
ONLINE_AFFINITAET has 578 (1.3%) missing values Missing
ORTSGR_KLS9 has 7783 (18.2%) missing values Missing
OST_WEST_KZ has 7627 (17.8%) missing values Missing
PLZ8_ANTG1 has 8044 (18.8%) missing values Missing
PLZ8_ANTG2 has 8044 (18.8%) missing values Missing
PLZ8_ANTG3 has 8044 (18.8%) missing values Missing
PLZ8_ANTG4 has 8044 (18.8%) missing values Missing
PLZ8_BAUMAX has 8044 (18.8%) missing values Missing
PLZ8_GBZ has 8044 (18.8%) missing values Missing
PLZ8_HHZ has 8044 (18.8%) missing values Missing
REGIOTYP has 8303 (19.4%) missing values Missing
RELAT_AB has 7783 (18.2%) missing values Missing
RETOURTYP_BK_S has 578 (1.3%) missing values Missing
RT_KEIN_ANREIZ has 578 (1.3%) missing values Missing
RT_SCHNAEPPCHEN has 578 (1.3%) missing values Missing
RT_UEBERGROESSE has 6217 (14.5%) missing values Missing
SOHO_KZ has 6889 (16.1%) missing values Missing
STRUKTURTYP has 7784 (18.2%) missing values Missing
TITEL_KZ has 6889 (16.1%) missing values Missing
UMFELD_ALT has 7763 (18.1%) missing values Missing
UMFELD_JUNG has 7763 (18.1%) missing values Missing
UNGLEICHENN_FLAG has 6889 (16.1%) missing values Missing
VERDICHTUNGSRAUM has 7784 (18.2%) missing values Missing
VHA has 6889 (16.1%) missing values Missing
VHN has 8303 (19.4%) missing values Missing
VK_DHT4A has 7175 (16.8%) missing values Missing
VK_DISTANZ has 7175 (16.8%) missing values Missing
VK_ZG11 has 7175 (16.8%) missing values Missing
W_KEIT_KIND_HH has 9619 (22.5%) missing values Missing
WOHNDAUER_2008 has 6889 (16.1%) missing values Missing
WOHNLAGE has 7627 (17.8%) missing values Missing
ANZ_HH_TITEL is highly skewed (γ1 = 21.40253768) Skewed
D19_TELKO_ONLINE_QUOTE_12 is highly skewed (γ1 = 28.27404961) Skewed
D19_VERSI_ONLINE_DATUM is highly skewed (γ1 = -20.76506053) Skewed
D19_VERSI_ONLINE_QUOTE_12 is highly skewed (γ1 = 27.95293168) Skewed
TITEL_KZ is highly skewed (γ1 = 23.54853598) Skewed
LNR has unique values Unique
CAMEO_DEUG_2015 is an unsupported type, check if it needs cleaning or further analysis Unsupported
CAMEO_INTL_2015 is an unsupported type, check if it needs cleaning or further analysis Unsupported
AGER_TYP has 928 (2.2%) zeros Zeros
ALTER_HH has 6342 (14.8%) zeros Zeros
ALTERSKATEGORIE_FEIN has 3661 (8.5%) zeros Zeros
ANZ_HAUSHALTE_AKTIV has 580 (1.4%) zeros Zeros
ANZ_HH_TITEL has 33491 (78.2%) zeros Zeros
ANZ_KINDER has 33749 (78.8%) zeros Zeros
ANZ_PERSONEN has 2730 (6.4%) zeros Zeros
ANZ_TITEL has 35584 (83.1%) zeros Zeros
D19_BANKEN_ANZ_12 has 40055 (93.5%) zeros Zeros
D19_BANKEN_ANZ_24 has 38560 (90.0%) zeros Zeros
D19_BANKEN_DIREKT has 36690 (85.7%) zeros Zeros
D19_BANKEN_GROSS has 38753 (90.5%) zeros Zeros
D19_BANKEN_LOKAL has 41978 (98.0%) zeros Zeros
D19_BANKEN_ONLINE_QUOTE_12 has 33740 (78.8%) zeros Zeros
D19_BANKEN_REST has 39736 (92.8%) zeros Zeros
D19_BEKLEIDUNG_GEH has 35744 (83.4%) zeros Zeros
D19_BEKLEIDUNG_REST has 29888 (69.8%) zeros Zeros
D19_BILDUNG has 34643 (80.9%) zeros Zeros
D19_BIO_OEKO has 38272 (89.4%) zeros Zeros
D19_BUCH_CD has 22306 (52.1%) zeros Zeros
D19_DIGIT_SERV has 41122 (96.0%) zeros Zeros
D19_DROGERIEARTIKEL has 36583 (85.4%) zeros Zeros
D19_ENERGIE has 39059 (91.2%) zeros Zeros
D19_FREIZEIT has 37632 (87.9%) zeros Zeros
D19_GARTEN has 39649 (92.6%) zeros Zeros
D19_GESAMT_ANZ_12 has 25068 (58.5%) zeros Zeros
D19_GESAMT_ANZ_24 has 20500 (47.9%) zeros Zeros
D19_GESAMT_ONLINE_QUOTE_12 has 23181 (54.1%) zeros Zeros
D19_HANDWERK has 30723 (71.7%) zeros Zeros
D19_HAUS_DEKO has 28399 (66.3%) zeros Zeros
D19_KINDERARTIKEL has 33680 (78.6%) zeros Zeros
D19_KOSMETIK has 28543 (66.6%) zeros Zeros
D19_LEBENSMITTEL has 37291 (87.1%) zeros Zeros
D19_LOTTO has 20136 (47.0%) zeros Zeros
D19_NAHRUNGSERGAENZUNG has 38321 (89.5%) zeros Zeros
D19_RATGEBER has 35102 (82.0%) zeros Zeros
D19_REISEN has 27986 (65.3%) zeros Zeros
D19_SAMMELARTIKEL has 31815 (74.3%) zeros Zeros
D19_SCHUHE has 37362 (87.2%) zeros Zeros
D19_SONSTIGE has 15027 (35.1%) zeros Zeros
D19_SOZIALES has 9585 (22.4%) zeros Zeros
D19_TECHNIK has 25431 (59.4%) zeros Zeros
D19_TELKO_ANZ_12 has 41050 (95.8%) zeros Zeros
D19_TELKO_ANZ_24 has 39657 (92.6%) zeros Zeros
D19_TELKO_MOBILE has 35991 (84.0%) zeros Zeros
D19_TELKO_ONLINE_QUOTE_12 has 35262 (82.3%) zeros Zeros
D19_TELKO_REST has 37808 (88.3%) zeros Zeros
D19_TIERARTIKEL has 40738 (95.1%) zeros Zeros
D19_VERSAND_ANZ_12 has 27471 (64.1%) zeros Zeros
D19_VERSAND_ANZ_24 has 23150 (54.0%) zeros Zeros
D19_VERSAND_ONLINE_QUOTE_12 has 24464 (57.1%) zeros Zeros
D19_VERSAND_REST has 36177 (84.5%) zeros Zeros
D19_VERSI_ANZ_12 has 39452 (92.1%) zeros Zeros
D19_VERSI_ANZ_24 has 37442 (87.4%) zeros Zeros
D19_VERSI_ONLINE_QUOTE_12 has 35260 (82.3%) zeros Zeros
D19_VERSICHERUNGEN has 31891 (74.5%) zeros Zeros
D19_VOLLSORTIMENT has 20117 (47.0%) zeros Zeros
D19_WEIN_FEINKOST has 36598 (85.4%) zeros Zeros
DSL_FLAG has 659 (1.5%) zeros Zeros
GEBURTSJAHR has 17583 (41.1%) zeros Zeros
GREEN_AVANTGARDE has 30804 (71.9%) zeros Zeros
HH_DELTA_FLAG has 28798 (67.2%) zeros Zeros
KBA05_ALTER1 has 5183 (12.1%) zeros Zeros
KBA05_ALTER4 has 819 (1.9%) zeros Zeros
KBA05_ANHANG has 9844 (23.0%) zeros Zeros
KBA05_ANTG1 has 9113 (21.3%) zeros Zeros
KBA05_ANTG2 has 12881 (30.1%) zeros Zeros
KBA05_ANTG3 has 25982 (60.7%) zeros Zeros
KBA05_ANTG4 has 28923 (67.5%) zeros Zeros
KBA05_BAUMAX has 14287 (33.4%) zeros Zeros
KBA05_CCM4 has 11018 (25.7%) zeros Zeros
KBA05_DIESEL has 2427 (5.7%) zeros Zeros
KBA05_HERST1 has 2594 (6.1%) zeros Zeros
KBA05_HERST3 has 519 (1.2%) zeros Zeros
KBA05_HERST4 has 1045 (2.4%) zeros Zeros
KBA05_HERST5 has 1654 (3.9%) zeros Zeros
KBA05_KW3 has 7876 (18.4%) zeros Zeros
KBA05_MOD1 has 11659 (27.2%) zeros Zeros
KBA05_MOD4 has 1719 (4.0%) zeros Zeros
KBA05_MOD8 has 8550 (20.0%) zeros Zeros
KBA05_MOTRAD has 8115 (18.9%) zeros Zeros
KBA05_SEG1 has 10315 (24.1%) zeros Zeros
KBA05_SEG10 has 3992 (9.3%) zeros Zeros
KBA05_SEG5 has 7113 (16.6%) zeros Zeros
KBA05_SEG6 has 29440 (68.7%) zeros Zeros
KBA05_SEG7 has 15140 (35.3%) zeros Zeros
KBA05_SEG8 has 17271 (40.3%) zeros Zeros
KBA05_SEG9 has 10277 (24.0%) zeros Zeros
KBA05_VORB2 has 2710 (6.3%) zeros Zeros
KBA05_ZUL3 has 1971 (4.6%) zeros Zeros
KBA05_ZUL4 has 3327 (7.8%) zeros Zeros
KBA13_ANTG2 has 501 (1.2%) zeros Zeros
KBA13_ANTG3 has 7226 (16.9%) zeros Zeros
KBA13_ANTG4 has 19008 (44.4%) zeros Zeros
KBA13_BJ_2008 has 5495 (12.8%) zeros Zeros
KBA13_BJ_2009 has 4165 (9.7%) zeros Zeros
KBA13_CCM_0_1400 has 6437 (15.0%) zeros Zeros
KBA13_CCM_1000 has 4466 (10.4%) zeros Zeros
KBA13_CCM_1200 has 6755 (15.8%) zeros Zeros
KBA13_CCM_1800 has 5935 (13.9%) zeros Zeros
KBA13_CCM_2500 has 4158 (9.7%) zeros Zeros
KBA13_CCM_2501 has 3962 (9.2%) zeros Zeros
KBA13_CCM_3000 has 2530 (5.9%) zeros Zeros
KBA13_KMH_0_140 has 4639 (10.8%) zeros Zeros
KBA13_KMH_211 has 5878 (13.7%) zeros Zeros
KBA13_KMH_250 has 5951 (13.9%) zeros Zeros
KBA13_KRSZUL_NEU has 1068 (2.5%) zeros Zeros
KBA13_KW_110 has 5392 (12.6%) zeros Zeros
KBA13_KW_120 has 4056 (9.5%) zeros Zeros
KBA13_KW_121 has 4109 (9.6%) zeros Zeros
KBA13_KW_40 has 4472 (10.4%) zeros Zeros
KBA13_KW_50 has 6557 (15.3%) zeros Zeros
KBA13_KW_60 has 6058 (14.1%) zeros Zeros
KBA13_KW_70 has 6512 (15.2%) zeros Zeros
KBA13_KW_80 has 5694 (13.3%) zeros Zeros
KBA13_KW_90 has 6039 (14.1%) zeros Zeros
KBA13_SEG_OBERKLASSE has 3921 (9.2%) zeros Zeros
KBA13_SEG_SPORTWAGEN has 3574 (8.3%) zeros Zeros
KBA13_SEG_WOHNMOBILE has 3876 (9.0%) zeros Zeros
KBA13_VORB_3 has 7322 (17.1%) zeros Zeros
KKK has 1539 (3.6%) zeros Zeros
KONSUMZELLE has 28509 (66.6%) zeros Zeros
LP_FAMILIE_FEIN has 8073 (18.8%) zeros Zeros
LP_FAMILIE_GROB has 8073 (18.8%) zeros Zeros
LP_LEBENSPHASE_FEIN has 8156 (19.0%) zeros Zeros
LP_LEBENSPHASE_GROB has 8135 (19.0%) zeros Zeros
NATIONALITAET_KZ has 7226 (16.9%) zeros Zeros
ONLINE_AFFINITAET has 2105 (4.9%) zeros Zeros
PLZ8_ANTG3 has 6493 (15.2%) zeros Zeros
PLZ8_ANTG4 has 18122 (42.3%) zeros Zeros
PRAEGENDE_JUGENDJAHRE has 7365 (17.2%) zeros Zeros
REGIOTYP has 1539 (3.6%) zeros Zeros
SHOPPER_TYP has 6092 (14.2%) zeros Zeros
SOHO_KZ has 35614 (83.1%) zeros Zeros
TITEL_KZ has 35698 (83.3%) zeros Zeros
UNGLEICHENN_FLAG has 33383 (77.9%) zeros Zeros
VERDICHTUNGSRAUM has 17366 (40.5%) zeros Zeros
VHA has 16026 (37.4%) zeros Zeros
VHN has 1539 (3.6%) zeros Zeros
W_KEIT_KIND_HH has 711 (1.7%) zeros Zeros

Reproduction

Analysis started2021-05-29 14:56:28.978400
Analysis finished2021-05-29 14:56:32.435398
Duration3.46 seconds
Software versionpandas-profiling v3.0.0
Download configurationconfig.json

Variables

LNR
Real number (ℝ≥0)

UNIQUE

Distinct42833
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42993.16562
Minimum2
Maximum85794
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:32.557229image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4372.6
Q121650
median43054
Q364352
95-th percentile81641.8
Maximum85794
Range85792
Interquartile range (IQR)42702

Descriptive statistics

Standard deviation24755.59973
Coefficient of variation (CV)0.5758031392
Kurtosis-1.196611944
Mean42993.16562
Median Absolute Deviation (MAD)21349
Skewness-0.002145564174
Sum1841526263
Variance612839717.9
MonotonicityNot monotonic
2021-05-29T15:56:32.742257image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
675851
 
< 0.1%
394301
 
< 0.1%
517241
 
< 0.1%
558221
 
< 0.1%
537751
 
< 0.1%
107681
 
< 0.1%
87211
 
< 0.1%
148661
 
< 0.1%
783551
 
< 0.1%
5331
 
< 0.1%
Other values (42823)42823
> 99.9%
ValueCountFrequency (%)
21
< 0.1%
31
< 0.1%
41
< 0.1%
61
< 0.1%
71
< 0.1%
ValueCountFrequency (%)
857941
< 0.1%
857931
< 0.1%
857911
< 0.1%
857901
< 0.1%
857891
< 0.1%

AGER_TYP
Real number (ℝ)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.537436089
Minimum-1
Maximum3
Zeros928
Zeros (%)2.2%
Negative17997
Negative (%)42.0%
Memory size334.8 KiB
2021-05-29T15:56:32.854931image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median1
Q32
95-th percentile3
Maximum3
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.414776577
Coefficient of variation (CV)2.632455479
Kurtosis-1.562790354
Mean0.537436089
Median Absolute Deviation (MAD)1
Skewness0.08269847981
Sum23020
Variance2.001592763
MonotonicityNot monotonic
2021-05-29T15:56:32.957346image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-117997
42.0%
212237
28.6%
19235
21.6%
32436
 
5.7%
0928
 
2.2%
ValueCountFrequency (%)
-117997
42.0%
0928
 
2.2%
19235
21.6%
212237
28.6%
32436
 
5.7%
ValueCountFrequency (%)
32436
 
5.7%
212237
28.6%
19235
21.6%
0928
 
2.2%
-117997
42.0%

AKT_DAT_KL
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing6889
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean1.518890496
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:33.045349image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.737440961
Coefficient of variation (CV)1.14388823
Kurtosis11.2342742
Mean1.518890496
Median Absolute Deviation (MAD)0
Skewness3.515750111
Sum54595
Variance3.018701092
MonotonicityNot monotonic
2021-05-29T15:56:33.138400image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
132007
74.7%
91218
 
2.8%
2799
 
1.9%
5464
 
1.1%
3385
 
0.9%
4301
 
0.7%
6284
 
0.7%
8243
 
0.6%
7243
 
0.6%
(Missing)6889
 
16.1%
ValueCountFrequency (%)
132007
74.7%
2799
 
1.9%
3385
 
0.9%
4301
 
0.7%
5464
 
1.1%
ValueCountFrequency (%)
91218
2.8%
8243
 
0.6%
7243
 
0.6%
6284
 
0.7%
5464
 
1.1%

ALTER_HH
Real number (ℝ≥0)

MISSING
ZEROS

Distinct21
Distinct (%)0.1%
Missing6889
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean10.23951146
Minimum0
Maximum21
Zeros6342
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:33.237958image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median10
Q315
95-th percentile20
Maximum21
Range21
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.109679825
Coefficient of variation (CV)0.5966768872
Kurtosis-0.6603612325
Mean10.23951146
Median Absolute Deviation (MAD)3
Skewness-0.2180068208
Sum368049
Variance37.32818757
MonotonicityNot monotonic
2021-05-29T15:56:33.337084image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
06342
14.8%
93994
9.3%
103632
8.5%
82598
 
6.1%
112362
 
5.5%
122195
 
5.1%
131707
 
4.0%
71665
 
3.9%
151525
 
3.6%
211428
 
3.3%
Other values (11)8496
19.8%
(Missing)6889
16.1%
ValueCountFrequency (%)
06342
14.8%
21
 
< 0.1%
34
 
< 0.1%
436
 
0.1%
5108
 
0.3%
ValueCountFrequency (%)
211428
3.3%
201196
2.8%
191248
2.9%
181154
2.7%
171232
2.9%

ALTER_KIND1
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)0.8%
Missing40820
Missing (%)95.3%
Infinite0
Infinite (%)0.0%
Mean12.53402881
Minimum2
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:33.427946image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q19
median13
Q316
95-th percentile18
Maximum18
Range16
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.996079032
Coefficient of variation (CV)0.3188184016
Kurtosis-0.9341699166
Mean12.53402881
Median Absolute Deviation (MAD)3
Skewness-0.3509756
Sum25231
Variance15.96864763
MonotonicityNot monotonic
2021-05-29T15:56:33.525930image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
18221
 
0.5%
17206
 
0.5%
15178
 
0.4%
14177
 
0.4%
16165
 
0.4%
13147
 
0.3%
9135
 
0.3%
10131
 
0.3%
8130
 
0.3%
11129
 
0.3%
Other values (7)394
 
0.9%
(Missing)40820
95.3%
ValueCountFrequency (%)
26
 
< 0.1%
317
 
< 0.1%
416
 
< 0.1%
531
 
0.1%
687
0.2%
ValueCountFrequency (%)
18221
0.5%
17206
0.5%
16165
0.4%
15178
0.4%
14177
0.4%

ALTER_KIND2
Real number (ℝ≥0)

MISSING

Distinct15
Distinct (%)2.0%
Missing42071
Missing (%)98.2%
Infinite0
Infinite (%)0.0%
Mean13.94225722
Minimum4
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:33.619243image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q112
median14
Q317
95-th percentile18
Maximum18
Range14
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.142155265
Coefficient of variation (CV)0.2253691935
Kurtosis-0.5186748724
Mean13.94225722
Median Absolute Deviation (MAD)2.5
Skewness-0.5438733524
Sum10624
Variance9.873139708
MonotonicityNot monotonic
2021-05-29T15:56:33.715920image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
18109
 
0.3%
1797
 
0.2%
1587
 
0.2%
1484
 
0.2%
1676
 
0.2%
1370
 
0.2%
1264
 
0.1%
1151
 
0.1%
1043
 
0.1%
933
 
0.1%
Other values (5)48
 
0.1%
(Missing)42071
98.2%
ValueCountFrequency (%)
41
 
< 0.1%
52
 
< 0.1%
68
 
< 0.1%
78
 
< 0.1%
829
0.1%
ValueCountFrequency (%)
18109
0.3%
1797
0.2%
1676
0.2%
1587
0.2%
1484
0.2%

ALTER_KIND3
Real number (ℝ≥0)

MISSING

Distinct13
Distinct (%)6.5%
Missing42632
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean14.44278607
Minimum6
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:33.804192image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile9
Q113
median15
Q317
95-th percentile18
Maximum18
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.787106062
Coefficient of variation (CV)0.1929756522
Kurtosis-0.07347284447
Mean14.44278607
Median Absolute Deviation (MAD)2
Skewness-0.699840764
Sum2903
Variance7.767960199
MonotonicityNot monotonic
2021-05-29T15:56:33.911705image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1730
 
0.1%
1828
 
0.1%
1525
 
0.1%
1425
 
0.1%
1625
 
0.1%
1323
 
0.1%
1215
 
< 0.1%
119
 
< 0.1%
108
 
< 0.1%
97
 
< 0.1%
Other values (3)6
 
< 0.1%
(Missing)42632
99.5%
ValueCountFrequency (%)
61
 
< 0.1%
73
 
< 0.1%
82
 
< 0.1%
97
< 0.1%
108
< 0.1%
ValueCountFrequency (%)
1828
0.1%
1730
0.1%
1625
0.1%
1525
0.1%
1425
0.1%

ALTER_KIND4
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)25.6%
Missing42794
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean14.41025641
Minimum9
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:34.019349image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile10.9
Q113
median14
Q316
95-th percentile18
Maximum18
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.279403762
Coefficient of variation (CV)0.1581792646
Kurtosis-0.5492586964
Mean14.41025641
Median Absolute Deviation (MAD)2
Skewness-0.2569132311
Sum562
Variance5.195681511
MonotonicityNot monotonic
2021-05-29T15:56:34.124375image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
137
 
< 0.1%
176
 
< 0.1%
155
 
< 0.1%
145
 
< 0.1%
125
 
< 0.1%
165
 
< 0.1%
183
 
< 0.1%
91
 
< 0.1%
111
 
< 0.1%
101
 
< 0.1%
(Missing)42794
99.9%
ValueCountFrequency (%)
91
 
< 0.1%
101
 
< 0.1%
111
 
< 0.1%
125
< 0.1%
137
< 0.1%
ValueCountFrequency (%)
183
< 0.1%
176
< 0.1%
165
< 0.1%
155
< 0.1%
145
< 0.1%

ALTERSKATEGORIE_FEIN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct25
Distinct (%)0.1%
Missing8118
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean9.822583897
Minimum0
Maximum25
Zeros3661
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:34.234380image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median10
Q313
95-th percentile16
Maximum25
Range25
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.410937105
Coefficient of variation (CV)0.4490607717
Kurtosis0.6380988428
Mean9.822583897
Median Absolute Deviation (MAD)2
Skewness-0.6264084525
Sum340991
Variance19.45636614
MonotonicityNot monotonic
2021-05-29T15:56:34.361107image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
95035
11.8%
104567
10.7%
03661
8.5%
83286
7.7%
123143
 
7.3%
113091
 
7.2%
132726
 
6.4%
142177
 
5.1%
71974
 
4.6%
151617
 
3.8%
Other values (15)3438
8.0%
(Missing)8118
19.0%
ValueCountFrequency (%)
03661
8.5%
23
 
< 0.1%
37
 
< 0.1%
439
 
0.1%
5128
 
0.3%
ValueCountFrequency (%)
2517
 
< 0.1%
2415
 
< 0.1%
232
 
< 0.1%
228
 
< 0.1%
2171
0.2%

ANZ_HAUSHALTE_AKTIV
Real number (ℝ≥0)

MISSING
ZEROS

Distinct178
Distinct (%)0.5%
Missing7627
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean6.749985798
Minimum0
Maximum379
Zeros580
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:34.474563image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q37
95-th percentile26
Maximum379
Range379
Interquartile range (IQR)6

Descriptive statistics

Standard deviation14.83977904
Coefficient of variation (CV)2.19849041
Kurtosis103.1975547
Mean6.749985798
Median Absolute Deviation (MAD)1
Skewness7.967103961
Sum237640
Variance220.219042
MonotonicityNot monotonic
2021-05-29T15:56:34.598009image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
113723
32.0%
25524
12.9%
32109
 
4.9%
41413
 
3.3%
51195
 
2.8%
61192
 
2.8%
71121
 
2.6%
81086
 
2.5%
9918
 
2.1%
10749
 
1.7%
Other values (168)6176
14.4%
(Missing)7627
17.8%
ValueCountFrequency (%)
0580
 
1.4%
113723
32.0%
25524
12.9%
32109
 
4.9%
41413
 
3.3%
ValueCountFrequency (%)
3791
< 0.1%
3661
< 0.1%
3441
< 0.1%
3311
< 0.1%
2771
< 0.1%

ANZ_HH_TITEL
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct15
Distinct (%)< 0.1%
Missing8146
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean0.04566552311
Minimum0
Maximum20
Zeros33491
Zeros (%)78.2%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:34.703789image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3394044006
Coefficient of variation (CV)7.43239927
Kurtosis820.2034387
Mean0.04566552311
Median Absolute Deviation (MAD)0
Skewness21.40253768
Sum1584
Variance0.1151953472
MonotonicityNot monotonic
2021-05-29T15:56:34.842900image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
033491
78.2%
11032
 
2.4%
298
 
0.2%
324
 
0.1%
412
 
< 0.1%
68
 
< 0.1%
77
 
< 0.1%
56
 
< 0.1%
112
 
< 0.1%
102
 
< 0.1%
Other values (5)5
 
< 0.1%
(Missing)8146
 
19.0%
ValueCountFrequency (%)
033491
78.2%
11032
 
2.4%
298
 
0.2%
324
 
0.1%
412
 
< 0.1%
ValueCountFrequency (%)
201
< 0.1%
181
< 0.1%
121
< 0.1%
112
< 0.1%
102
< 0.1%

ANZ_KINDER
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing6889
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean0.09075228133
Minimum0
Maximum7
Zeros33749
Zeros (%)78.8%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:34.932405image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4001073103
Coefficient of variation (CV)4.408785151
Kurtosis35.33771828
Mean0.09075228133
Median Absolute Deviation (MAD)0
Skewness5.426657842
Sum3262
Variance0.1600858598
MonotonicityNot monotonic
2021-05-29T15:56:35.025287image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
033749
78.8%
11391
 
3.2%
2591
 
1.4%
3173
 
0.4%
433
 
0.1%
55
 
< 0.1%
71
 
< 0.1%
61
 
< 0.1%
(Missing)6889
 
16.1%
ValueCountFrequency (%)
033749
78.8%
11391
 
3.2%
2591
 
1.4%
3173
 
0.4%
433
 
0.1%
ValueCountFrequency (%)
71
 
< 0.1%
61
 
< 0.1%
55
 
< 0.1%
433
 
0.1%
3173
0.4%

ANZ_PERSONEN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct14
Distinct (%)< 0.1%
Missing6889
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean2.02348097
Minimum0
Maximum14
Zeros2730
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:35.114791image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum14
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.358137211
Coefficient of variation (CV)0.6711885267
Kurtosis1.832487333
Mean2.02348097
Median Absolute Deviation (MAD)1
Skewness1.082769064
Sum72732
Variance1.844536685
MonotonicityNot monotonic
2021-05-29T15:56:35.211662image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
112034
28.1%
210746
25.1%
35535
12.9%
42951
 
6.9%
02730
 
6.4%
51237
 
2.9%
6485
 
1.1%
7152
 
0.4%
848
 
0.1%
914
 
< 0.1%
Other values (4)12
 
< 0.1%
(Missing)6889
16.1%
ValueCountFrequency (%)
02730
 
6.4%
112034
28.1%
210746
25.1%
35535
12.9%
42951
 
6.9%
ValueCountFrequency (%)
141
 
< 0.1%
121
 
< 0.1%
112
 
< 0.1%
108
< 0.1%
914
< 0.1%

ANZ_STATISTISCHE_HAUSHALTE
Real number (ℝ≥0)

MISSING

Distinct173
Distinct (%)0.5%
Missing7627
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean6.33181844
Minimum0
Maximum375
Zeros95
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:35.325972image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q37
95-th percentile24
Maximum375
Range375
Interquartile range (IQR)6

Descriptive statistics

Standard deviation14.04551177
Coefficient of variation (CV)2.218242975
Kurtosis110.1963467
Mean6.33181844
Median Absolute Deviation (MAD)1
Skewness8.235406687
Sum222918
Variance197.276401
MonotonicityNot monotonic
2021-05-29T15:56:35.459104image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
114697
34.3%
25479
 
12.8%
32085
 
4.9%
41419
 
3.3%
51292
 
3.0%
71246
 
2.9%
61243
 
2.9%
81093
 
2.6%
9906
 
2.1%
10683
 
1.6%
Other values (163)5063
 
11.8%
(Missing)7627
17.8%
ValueCountFrequency (%)
095
 
0.2%
114697
34.3%
25479
 
12.8%
32085
 
4.9%
41419
 
3.3%
ValueCountFrequency (%)
3751
< 0.1%
3541
< 0.1%
3141
< 0.1%
2891
< 0.1%
2841
< 0.1%

ANZ_TITEL
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing6889
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean0.0109336746
Minimum0
Maximum3
Zeros35584
Zeros (%)83.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:35.569948image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1129688376
Coefficient of variation (CV)10.33219312
Kurtosis155.6257733
Mean0.0109336746
Median Absolute Deviation (MAD)0
Skewness11.57758176
Sum393
Variance0.01276195826
MonotonicityNot monotonic
2021-05-29T15:56:35.672520image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
035584
83.1%
1329
 
0.8%
229
 
0.1%
32
 
< 0.1%
(Missing)6889
 
16.1%
ValueCountFrequency (%)
035584
83.1%
1329
 
0.8%
229
 
0.1%
32
 
< 0.1%
ValueCountFrequency (%)
32
 
< 0.1%
229
 
0.1%
1329
 
0.8%
035584
83.1%

ARBEIT
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7783
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean3.039657632
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:35.770639image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.044241957
Coefficient of variation (CV)0.3435393335
Kurtosis-0.5415108929
Mean3.039657632
Median Absolute Deviation (MAD)1
Skewness-0.3586595221
Sum106540
Variance1.090441265
MonotonicityNot monotonic
2021-05-29T15:56:35.877987image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
412209
28.5%
311223
26.2%
26845
16.0%
13384
 
7.9%
51385
 
3.2%
94
 
< 0.1%
(Missing)7783
18.2%
ValueCountFrequency (%)
13384
 
7.9%
26845
16.0%
311223
26.2%
412209
28.5%
51385
 
3.2%
ValueCountFrequency (%)
94
 
< 0.1%
51385
 
3.2%
412209
28.5%
311223
26.2%
26845
16.0%

BALLRAUM
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing7641
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean4.286826551
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:35.977406image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.185526782
Coefficient of variation (CV)0.5098239353
Kurtosis-1.461158209
Mean4.286826551
Median Absolute Deviation (MAD)2
Skewness-0.3420130215
Sum150862
Variance4.776527316
MonotonicityNot monotonic
2021-05-29T15:56:36.080059image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
611842
27.6%
16366
14.9%
74884
11.4%
24291
 
10.0%
32883
 
6.7%
42605
 
6.1%
52321
 
5.4%
(Missing)7641
17.8%
ValueCountFrequency (%)
16366
14.9%
24291
10.0%
32883
6.7%
42605
6.1%
52321
 
5.4%
ValueCountFrequency (%)
74884
11.4%
611842
27.6%
52321
 
5.4%
42605
 
6.1%
32883
 
6.7%

CAMEO_DEU_2015
Categorical

MISSING

Distinct45
Distinct (%)0.1%
Missing7740
Missing (%)18.1%
Memory size334.8 KiB
6B
2497 
4C
 
2257
3D
 
2150
2D
 
1994
4A
 
1769
Other values (40)
24426 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2B
2nd row5A
3rd row7A
4th row2B
5th row5A

Common Values

ValueCountFrequency (%)
6B2497
 
5.8%
4C2257
 
5.3%
3D2150
 
5.0%
2D1994
 
4.7%
4A1769
 
4.1%
8A1629
 
3.8%
3C1501
 
3.5%
8C1323
 
3.1%
7A1243
 
2.9%
2C1199
 
2.8%
Other values (35)17531
40.9%
(Missing)7740
18.1%

CAMEO_DEUG_2015
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing7740
Missing (%)18.1%
Memory size334.8 KiB

CAMEO_INTL_2015
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing7740
Missing (%)18.1%
Memory size334.8 KiB

CJT_GESAMTTYP
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing578
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean3.31771388
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:36.332968image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.760697085
Coefficient of variation (CV)0.5306958792
Kurtosis-1.311595239
Mean3.31771388
Median Absolute Deviation (MAD)1
Skewness0.3069180133
Sum140190
Variance3.100054224
MonotonicityNot monotonic
2021-05-29T15:56:36.440263image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
212717
29.7%
68244
19.2%
16462
15.1%
46174
14.4%
34578
 
10.7%
54080
 
9.5%
(Missing)578
 
1.3%
ValueCountFrequency (%)
16462
15.1%
212717
29.7%
34578
 
10.7%
46174
14.4%
54080
 
9.5%
ValueCountFrequency (%)
68244
19.2%
54080
 
9.5%
46174
14.4%
34578
 
10.7%
212717
29.7%

CJT_KATALOGNUTZER
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing578
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean3.884084724
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:36.526515image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.451494391
Coefficient of variation (CV)0.3737030715
Kurtosis-0.5278070885
Mean3.884084724
Median Absolute Deviation (MAD)0
Skewness-0.972648208
Sum164122
Variance2.106835968
MonotonicityNot monotonic
2021-05-29T15:56:36.614100image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
522709
53.0%
45913
 
13.8%
15663
 
13.2%
35322
 
12.4%
22648
 
6.2%
(Missing)578
 
1.3%
ValueCountFrequency (%)
15663
 
13.2%
22648
 
6.2%
35322
 
12.4%
45913
 
13.8%
522709
53.0%
ValueCountFrequency (%)
522709
53.0%
45913
 
13.8%
35322
 
12.4%
22648
 
6.2%
15663
 
13.2%

CJT_TYP_1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing578
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean2.540030766
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:36.700794image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.349703024
Coefficient of variation (CV)0.531372707
Kurtosis-0.6720326876
Mean2.540030766
Median Absolute Deviation (MAD)1
Skewness0.7432984473
Sum107329
Variance1.821698252
MonotonicityNot monotonic
2021-05-29T15:56:36.795676image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
217390
40.6%
19391
21.9%
57112
16.6%
35850
 
13.7%
42512
 
5.9%
(Missing)578
 
1.3%
ValueCountFrequency (%)
19391
21.9%
217390
40.6%
35850
 
13.7%
42512
 
5.9%
57112
16.6%
ValueCountFrequency (%)
57112
16.6%
42512
 
5.9%
35850
 
13.7%
217390
40.6%
19391
21.9%

CJT_TYP_2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing578
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean2.305194652
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:36.885773image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.386515961
Coefficient of variation (CV)0.6014745697
Kurtosis-0.454935537
Mean2.305194652
Median Absolute Deviation (MAD)1
Skewness0.9114743015
Sum97406
Variance1.92242651
MonotonicityNot monotonic
2021-05-29T15:56:36.982082image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
114941
34.9%
214310
33.4%
56361
14.9%
34532
 
10.6%
42111
 
4.9%
(Missing)578
 
1.3%
ValueCountFrequency (%)
114941
34.9%
214310
33.4%
34532
 
10.6%
42111
 
4.9%
56361
14.9%
ValueCountFrequency (%)
56361
14.9%
42111
 
4.9%
34532
 
10.6%
214310
33.4%
114941
34.9%

CJT_TYP_3
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing578
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean4.468204946
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:37.072733image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9240202627
Coefficient of variation (CV)0.2067989884
Kurtosis2.40182846
Mean4.468204946
Median Absolute Deviation (MAD)0
Skewness-1.770106063
Sum188804
Variance0.8538134459
MonotonicityNot monotonic
2021-05-29T15:56:37.167773image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
529118
68.0%
46728
 
15.7%
34003
 
9.3%
21887
 
4.4%
1519
 
1.2%
(Missing)578
 
1.3%
ValueCountFrequency (%)
1519
 
1.2%
21887
 
4.4%
34003
 
9.3%
46728
 
15.7%
529118
68.0%
ValueCountFrequency (%)
529118
68.0%
46728
 
15.7%
34003
 
9.3%
21887
 
4.4%
1519
 
1.2%

CJT_TYP_4
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing578
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean4.371719323
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:37.258261image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.06140354
Coefficient of variation (CV)0.242788583
Kurtosis1.756630451
Mean4.371719323
Median Absolute Deviation (MAD)0
Skewness-1.667984301
Sum184727
Variance1.126577474
MonotonicityNot monotonic
2021-05-29T15:56:37.351670image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
528251
66.0%
46652
 
15.5%
33291
 
7.7%
22930
 
6.8%
11131
 
2.6%
(Missing)578
 
1.3%
ValueCountFrequency (%)
11131
 
2.6%
22930
 
6.8%
33291
 
7.7%
46652
 
15.5%
528251
66.0%
ValueCountFrequency (%)
528251
66.0%
46652
 
15.5%
33291
 
7.7%
22930
 
6.8%
11131
 
2.6%

CJT_TYP_5
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing578
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean4.461696841
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:37.441411image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9457494892
Coefficient of variation (CV)0.2119708091
Kurtosis2.448902342
Mean4.461696841
Median Absolute Deviation (MAD)0
Skewness-1.77510665
Sum188529
Variance0.8944420963
MonotonicityNot monotonic
2021-05-29T15:56:37.536256image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
529479
68.8%
45750
 
13.4%
34814
 
11.2%
21480
 
3.5%
1732
 
1.7%
(Missing)578
 
1.3%
ValueCountFrequency (%)
1732
 
1.7%
21480
 
3.5%
34814
 
11.2%
45750
 
13.4%
529479
68.8%
ValueCountFrequency (%)
529479
68.8%
45750
 
13.4%
34814
 
11.2%
21480
 
3.5%
1732
 
1.7%

CJT_TYP_6
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing578
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean4.424375814
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:37.626531image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9807646493
Coefficient of variation (CV)0.2216729977
Kurtosis2.168700016
Mean4.424375814
Median Absolute Deviation (MAD)0
Skewness-1.734768484
Sum186952
Variance0.9618992974
MonotonicityNot monotonic
2021-05-29T15:56:37.719617image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
528471
66.5%
47138
 
16.7%
33482
 
8.1%
22435
 
5.7%
1729
 
1.7%
(Missing)578
 
1.3%
ValueCountFrequency (%)
1729
 
1.7%
22435
 
5.7%
33482
 
8.1%
47138
 
16.7%
528471
66.5%
ValueCountFrequency (%)
528471
66.5%
47138
 
16.7%
33482
 
8.1%
22435
 
5.7%
1729
 
1.7%

D19_BANKEN_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1028646137
Minimum0
Maximum6
Zeros40055
Zeros (%)93.5%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:37.808569image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.45825906
Coefficient of variation (CV)4.454972836
Kurtosis42.00842379
Mean0.1028646137
Median Absolute Deviation (MAD)0
Skewness5.88382803
Sum4406
Variance0.2100013661
MonotonicityNot monotonic
2021-05-29T15:56:37.903283image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
040055
93.5%
11748
 
4.1%
2667
 
1.6%
3179
 
0.4%
4142
 
0.3%
533
 
0.1%
69
 
< 0.1%
ValueCountFrequency (%)
040055
93.5%
11748
 
4.1%
2667
 
1.6%
3179
 
0.4%
4142
 
0.3%
ValueCountFrequency (%)
69
 
< 0.1%
533
 
0.1%
4142
 
0.3%
3179
 
0.4%
2667
1.6%

D19_BANKEN_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1763360026
Minimum0
Maximum6
Zeros38560
Zeros (%)90.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:37.991406image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6344151536
Coefficient of variation (CV)3.597763044
Kurtosis25.33674889
Mean0.1763360026
Median Absolute Deviation (MAD)0
Skewness4.669833815
Sum7553
Variance0.4024825871
MonotonicityNot monotonic
2021-05-29T15:56:38.094609image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
038560
90.0%
12388
 
5.6%
21115
 
2.6%
3323
 
0.8%
4300
 
0.7%
5116
 
0.3%
631
 
0.1%
ValueCountFrequency (%)
038560
90.0%
12388
 
5.6%
21115
 
2.6%
3323
 
0.8%
4300
 
0.7%
ValueCountFrequency (%)
631
 
0.1%
5116
 
0.3%
4300
 
0.7%
3323
 
0.8%
21115
2.6%

D19_BANKEN_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.336352812
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:38.200145image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.655615276
Coefficient of variation (CV)0.1773299819
Kurtosis8.88961265
Mean9.336352812
Median Absolute Deviation (MAD)0
Skewness-2.983080902
Sum399904
Variance2.741061941
MonotonicityNot monotonic
2021-05-29T15:56:38.306063image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1033616
78.5%
93526
 
8.2%
51660
 
3.9%
81418
 
3.3%
7778
 
1.8%
6717
 
1.7%
1361
 
0.8%
2291
 
0.7%
4277
 
0.6%
3189
 
0.4%
ValueCountFrequency (%)
1361
 
0.8%
2291
 
0.7%
3189
 
0.4%
4277
 
0.6%
51660
3.9%
ValueCountFrequency (%)
1033616
78.5%
93526
 
8.2%
81418
 
3.3%
7778
 
1.8%
6717
 
1.7%

D19_BANKEN_DIREKT
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7035696776
Minimum0
Maximum7
Zeros36690
Zeros (%)85.7%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:38.404589image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.821388153
Coefficient of variation (CV)2.588781483
Kurtosis4.001366773
Mean0.7035696776
Median Absolute Deviation (MAD)0
Skewness2.381921294
Sum30136
Variance3.317454805
MonotonicityNot monotonic
2021-05-29T15:56:38.512525image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
036690
85.7%
63128
 
7.3%
31197
 
2.8%
5733
 
1.7%
7327
 
0.8%
4269
 
0.6%
2258
 
0.6%
1231
 
0.5%
ValueCountFrequency (%)
036690
85.7%
1231
 
0.5%
2258
 
0.6%
31197
 
2.8%
4269
 
0.6%
ValueCountFrequency (%)
7327
 
0.8%
63128
7.3%
5733
 
1.7%
4269
 
0.6%
31197
 
2.8%

D19_BANKEN_GROSS
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4504937782
Minimum0
Maximum6
Zeros38753
Zeros (%)90.5%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:38.614650image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.469663282
Coefficient of variation (CV)3.262338689
Kurtosis8.46663348
Mean0.4504937782
Median Absolute Deviation (MAD)0
Skewness3.165206547
Sum19296
Variance2.159910162
MonotonicityNot monotonic
2021-05-29T15:56:38.721662image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
038753
90.5%
62082
 
4.9%
3860
 
2.0%
5565
 
1.3%
4223
 
0.5%
1193
 
0.5%
2157
 
0.4%
ValueCountFrequency (%)
038753
90.5%
1193
 
0.5%
2157
 
0.4%
3860
 
2.0%
4223
 
0.5%
ValueCountFrequency (%)
62082
4.9%
5565
 
1.3%
4223
 
0.5%
3860
2.0%
2157
 
0.4%

D19_BANKEN_LOKAL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1155417552
Minimum0
Maximum7
Zeros41978
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:38.822187image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8381207501
Coefficient of variation (CV)7.253834328
Kurtosis54.34879809
Mean0.1155417552
Median Absolute Deviation (MAD)0
Skewness7.415353142
Sum4949
Variance0.7024463918
MonotonicityNot monotonic
2021-05-29T15:56:38.935587image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
041978
98.0%
7398
 
0.9%
6229
 
0.5%
3165
 
0.4%
555
 
0.1%
25
 
< 0.1%
42
 
< 0.1%
11
 
< 0.1%
ValueCountFrequency (%)
041978
98.0%
11
 
< 0.1%
25
 
< 0.1%
3165
 
0.4%
42
 
< 0.1%
ValueCountFrequency (%)
7398
0.9%
6229
0.5%
555
 
0.1%
42
 
< 0.1%
3165
0.4%

D19_BANKEN_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.846006584
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:39.041931image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8418601471
Coefficient of variation (CV)0.0855027
Kurtosis39.0718492
Mean9.846006584
Median Absolute Deviation (MAD)0
Skewness-6.09917614
Sum421734
Variance0.7087285073
MonotonicityNot monotonic
2021-05-29T15:56:39.134663image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1041054
95.8%
5863
 
2.0%
8448
 
1.0%
9300
 
0.7%
264
 
0.1%
648
 
0.1%
122
 
0.1%
419
 
< 0.1%
79
 
< 0.1%
36
 
< 0.1%
ValueCountFrequency (%)
122
 
0.1%
264
 
0.1%
36
 
< 0.1%
419
 
< 0.1%
5863
2.0%
ValueCountFrequency (%)
1041054
95.8%
9300
 
0.7%
8448
 
1.0%
79
 
< 0.1%
648
 
0.1%

D19_BANKEN_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.574020031
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:39.222789image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.376190773
Coefficient of variation (CV)0.1437422074
Kurtosis17.61057419
Mean9.574020031
Median Absolute Deviation (MAD)0
Skewness-4.068583261
Sum410084
Variance1.893901043
MonotonicityNot monotonic
2021-05-29T15:56:39.313886image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1036727
85.7%
92579
 
6.0%
8828
 
1.9%
5725
 
1.7%
7629
 
1.5%
6503
 
1.2%
1306
 
0.7%
4201
 
0.5%
2182
 
0.4%
3153
 
0.4%
ValueCountFrequency (%)
1306
0.7%
2182
 
0.4%
3153
 
0.4%
4201
 
0.5%
5725
1.7%
ValueCountFrequency (%)
1036727
85.7%
92579
 
6.0%
8828
 
1.9%
7629
 
1.5%
6503
 
1.2%

D19_BANKEN_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing7526
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean0.4303395927
Minimum0
Maximum10
Zeros33740
Zeros (%)78.8%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:39.403553image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.012377579
Coefficient of variation (CV)4.676254783
Kurtosis18.3235359
Mean0.4303395927
Median Absolute Deviation (MAD)0
Skewness4.498076185
Sum15194
Variance4.04966352
MonotonicityNot monotonic
2021-05-29T15:56:39.498594image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
033740
78.8%
101452
 
3.4%
542
 
0.1%
727
 
0.1%
817
 
< 0.1%
316
 
< 0.1%
97
 
< 0.1%
63
 
< 0.1%
42
 
< 0.1%
21
 
< 0.1%
(Missing)7526
 
17.6%
ValueCountFrequency (%)
033740
78.8%
21
 
< 0.1%
316
 
< 0.1%
42
 
< 0.1%
542
 
0.1%
ValueCountFrequency (%)
101452
3.4%
97
 
< 0.1%
817
 
< 0.1%
727
 
0.1%
63
 
< 0.1%

D19_BANKEN_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3896528378
Minimum0
Maximum7
Zeros39736
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:39.584886image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.438006494
Coefficient of variation (CV)3.690481255
Kurtosis10.82117563
Mean0.3896528378
Median Absolute Deviation (MAD)0
Skewness3.540633076
Sum16690
Variance2.067862676
MonotonicityNot monotonic
2021-05-29T15:56:39.680370image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
039736
92.8%
62091
 
4.9%
3351
 
0.8%
5320
 
0.7%
7151
 
0.4%
297
 
0.2%
451
 
0.1%
136
 
0.1%
ValueCountFrequency (%)
039736
92.8%
136
 
0.1%
297
 
0.2%
3351
 
0.8%
451
 
0.1%
ValueCountFrequency (%)
7151
 
0.4%
62091
4.9%
5320
 
0.7%
451
 
0.1%
3351
 
0.8%

D19_BEKLEIDUNG_GEH
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8344267271
Minimum0
Maximum7
Zeros35744
Zeros (%)83.4%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:39.769062image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.967658249
Coefficient of variation (CV)2.358095907
Kurtosis2.668044582
Mean0.8344267271
Median Absolute Deviation (MAD)0
Skewness2.093073163
Sum35741
Variance3.871678986
MonotonicityNot monotonic
2021-05-29T15:56:39.863148image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
035744
83.4%
63551
 
8.3%
31491
 
3.5%
51028
 
2.4%
7507
 
1.2%
2230
 
0.5%
4177
 
0.4%
1105
 
0.2%
ValueCountFrequency (%)
035744
83.4%
1105
 
0.2%
2230
 
0.5%
31491
 
3.5%
4177
 
0.4%
ValueCountFrequency (%)
7507
 
1.2%
63551
8.3%
51028
 
2.4%
4177
 
0.4%
31491
3.5%

D19_BEKLEIDUNG_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.654308594
Minimum0
Maximum7
Zeros29888
Zeros (%)69.8%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:39.951036image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.632243583
Coefficient of variation (CV)1.591144235
Kurtosis-0.7223492117
Mean1.654308594
Median Absolute Deviation (MAD)0
Skewness1.066766895
Sum70859
Variance6.928706279
MonotonicityNot monotonic
2021-05-29T15:56:40.043578image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
029888
69.8%
67678
 
17.9%
71961
 
4.6%
31689
 
3.9%
5862
 
2.0%
2335
 
0.8%
1221
 
0.5%
4199
 
0.5%
ValueCountFrequency (%)
029888
69.8%
1221
 
0.5%
2335
 
0.8%
31689
 
3.9%
4199
 
0.5%
ValueCountFrequency (%)
71961
 
4.6%
67678
17.9%
5862
 
2.0%
4199
 
0.5%
31689
 
3.9%

D19_BILDUNG
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.029976887
Minimum0
Maximum7
Zeros34643
Zeros (%)80.9%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:40.136890image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.240404714
Coefficient of variation (CV)2.175199019
Kurtosis1.61414115
Mean1.029976887
Median Absolute Deviation (MAD)0
Skewness1.850324596
Sum44117
Variance5.019413282
MonotonicityNot monotonic
2021-05-29T15:56:40.244771image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
034643
80.9%
64282
 
10.0%
71741
 
4.1%
2965
 
2.3%
3577
 
1.3%
5383
 
0.9%
4140
 
0.3%
1102
 
0.2%
ValueCountFrequency (%)
034643
80.9%
1102
 
0.2%
2965
 
2.3%
3577
 
1.3%
4140
 
0.3%
ValueCountFrequency (%)
71741
4.1%
64282
10.0%
5383
 
0.9%
4140
 
0.3%
3577
 
1.3%

D19_BIO_OEKO
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6432190134
Minimum0
Maximum7
Zeros38272
Zeros (%)89.4%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:40.346241image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.887005043
Coefficient of variation (CV)2.933689775
Kurtosis5.143030923
Mean0.6432190134
Median Absolute Deviation (MAD)0
Skewness2.647410172
Sum27551
Variance3.560788031
MonotonicityNot monotonic
2021-05-29T15:56:40.455326image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
038272
89.4%
62875
 
6.7%
71200
 
2.8%
3250
 
0.6%
5221
 
0.5%
49
 
< 0.1%
24
 
< 0.1%
12
 
< 0.1%
ValueCountFrequency (%)
038272
89.4%
12
 
< 0.1%
24
 
< 0.1%
3250
 
0.6%
49
 
< 0.1%
ValueCountFrequency (%)
71200
2.8%
62875
6.7%
5221
 
0.5%
49
 
< 0.1%
3250
 
0.6%

D19_BUCH_CD
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.527653912
Minimum0
Maximum7
Zeros22306
Zeros (%)52.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:40.556499image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.835753728
Coefficient of variation (CV)1.121891614
Kurtosis-1.779218516
Mean2.527653912
Median Absolute Deviation (MAD)0
Skewness0.3401589186
Sum108267
Variance8.041499205
MonotonicityNot monotonic
2021-05-29T15:56:40.703278image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
022306
52.1%
614572
34.0%
31768
 
4.1%
51104
 
2.6%
11083
 
2.5%
7756
 
1.8%
2670
 
1.6%
4574
 
1.3%
ValueCountFrequency (%)
022306
52.1%
11083
 
2.5%
2670
 
1.6%
31768
 
4.1%
4574
 
1.3%
ValueCountFrequency (%)
7756
 
1.8%
614572
34.0%
51104
 
2.6%
4574
 
1.3%
31768
 
4.1%

D19_DIGIT_SERV
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1965307123
Minimum0
Maximum7
Zeros41122
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:40.801489image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.010816599
Coefficient of variation (CV)5.143300951
Kurtosis26.6660553
Mean0.1965307123
Median Absolute Deviation (MAD)0
Skewness5.254858016
Sum8418
Variance1.021750198
MonotonicityNot monotonic
2021-05-29T15:56:40.912063image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
041122
96.0%
6855
 
2.0%
3420
 
1.0%
5212
 
0.5%
799
 
0.2%
284
 
0.2%
422
 
0.1%
119
 
< 0.1%
ValueCountFrequency (%)
041122
96.0%
119
 
< 0.1%
284
 
0.2%
3420
 
1.0%
422
 
0.1%
ValueCountFrequency (%)
799
 
0.2%
6855
2.0%
5212
 
0.5%
422
 
0.1%
3420
1.0%

D19_DROGERIEARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6787056709
Minimum0
Maximum7
Zeros36583
Zeros (%)85.4%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:41.015250image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.762041312
Coefficient of variation (CV)2.596178855
Kurtosis4.443043482
Mean0.6787056709
Median Absolute Deviation (MAD)0
Skewness2.446411718
Sum29071
Variance3.104789584
MonotonicityNot monotonic
2021-05-29T15:56:41.123132image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
036583
85.4%
62425
 
5.7%
31299
 
3.0%
5903
 
2.1%
2466
 
1.1%
4448
 
1.0%
7446
 
1.0%
1263
 
0.6%
ValueCountFrequency (%)
036583
85.4%
1263
 
0.6%
2466
 
1.1%
31299
 
3.0%
4448
 
1.0%
ValueCountFrequency (%)
7446
 
1.0%
62425
5.7%
5903
 
2.1%
4448
 
1.0%
31299
3.0%

D19_ENERGIE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4156141293
Minimum0
Maximum7
Zeros39059
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:41.210188image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.419694092
Coefficient of variation (CV)3.415894677
Kurtosis10.46116938
Mean0.4156141293
Median Absolute Deviation (MAD)0
Skewness3.417850762
Sum17802
Variance2.015531315
MonotonicityNot monotonic
2021-05-29T15:56:41.324165image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
039059
91.2%
61266
 
3.0%
31198
 
2.8%
5623
 
1.5%
7409
 
1.0%
2152
 
0.4%
468
 
0.2%
158
 
0.1%
ValueCountFrequency (%)
039059
91.2%
158
 
0.1%
2152
 
0.4%
31198
 
2.8%
468
 
0.2%
ValueCountFrequency (%)
7409
 
1.0%
61266
3.0%
5623
1.5%
468
 
0.2%
31198
2.8%

D19_FREIZEIT
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6065183387
Minimum0
Maximum7
Zeros37632
Zeros (%)87.9%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:41.412555image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.709284481
Coefficient of variation (CV)2.818190931
Kurtosis5.30230646
Mean0.6065183387
Median Absolute Deviation (MAD)0
Skewness2.636672237
Sum25979
Variance2.921653439
MonotonicityNot monotonic
2021-05-29T15:56:41.505936image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
037632
87.9%
62756
 
6.4%
31093
 
2.6%
5675
 
1.6%
7232
 
0.5%
2222
 
0.5%
4166
 
0.4%
157
 
0.1%
ValueCountFrequency (%)
037632
87.9%
157
 
0.1%
2222
 
0.5%
31093
 
2.6%
4166
 
0.4%
ValueCountFrequency (%)
7232
 
0.5%
62756
6.4%
5675
 
1.6%
4166
 
0.4%
31093
 
2.6%

D19_GARTEN
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4051549039
Minimum0
Maximum7
Zeros39649
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:41.593789image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.467021212
Coefficient of variation (CV)3.620889685
Kurtosis10.36046271
Mean0.4051549039
Median Absolute Deviation (MAD)0
Skewness3.468296275
Sum17354
Variance2.152151237
MonotonicityNot monotonic
2021-05-29T15:56:41.689635image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
039649
92.6%
61838
 
4.3%
5542
 
1.3%
3426
 
1.0%
7308
 
0.7%
231
 
0.1%
427
 
0.1%
112
 
< 0.1%
ValueCountFrequency (%)
039649
92.6%
112
 
< 0.1%
231
 
0.1%
3426
 
1.0%
427
 
0.1%
ValueCountFrequency (%)
7308
 
0.7%
61838
4.3%
5542
 
1.3%
427
 
0.1%
3426
 
1.0%

D19_GESAMT_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9599140849
Minimum0
Maximum6
Zeros25068
Zeros (%)58.5%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:41.777611image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.421690237
Coefficient of variation (CV)1.481059878
Kurtosis1.253939463
Mean0.9599140849
Median Absolute Deviation (MAD)0
Skewness1.466321916
Sum41116
Variance2.02120313
MonotonicityNot monotonic
2021-05-29T15:56:41.866277image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
025068
58.5%
16149
 
14.4%
25375
 
12.5%
42507
 
5.9%
32370
 
5.5%
51105
 
2.6%
6259
 
0.6%
ValueCountFrequency (%)
025068
58.5%
16149
 
14.4%
25375
 
12.5%
32370
 
5.5%
42507
 
5.9%
ValueCountFrequency (%)
6259
 
0.6%
51105
 
2.6%
42507
5.9%
32370
5.5%
25375
12.5%

D19_GESAMT_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.451871221
Minimum0
Maximum6
Zeros20500
Zeros (%)47.9%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:41.965030image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.774891236
Coefficient of variation (CV)1.222485308
Kurtosis-0.215284834
Mean1.451871221
Median Absolute Deviation (MAD)1
Skewness0.9929507687
Sum62188
Variance3.150238899
MonotonicityNot monotonic
2021-05-29T15:56:42.058162image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
020500
47.9%
26077
 
14.2%
15582
 
13.0%
43791
 
8.9%
33166
 
7.4%
52512
 
5.9%
61205
 
2.8%
ValueCountFrequency (%)
020500
47.9%
15582
 
13.0%
26077
 
14.2%
33166
 
7.4%
43791
 
8.9%
ValueCountFrequency (%)
61205
 
2.8%
52512
5.9%
43791
8.9%
33166
7.4%
26077
14.2%

D19_GESAMT_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.526790092
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:42.149470image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.172484798
Coefficient of variation (CV)0.4860712163
Kurtosis-1.266568028
Mean6.526790092
Median Absolute Deviation (MAD)3
Skewness-0.390484015
Sum279562
Variance10.0646598
MonotonicityNot monotonic
2021-05-29T15:56:42.249733image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1011968
27.9%
55946
13.9%
95673
13.2%
13947
 
9.2%
23419
 
8.0%
82859
 
6.7%
42513
 
5.9%
62410
 
5.6%
72158
 
5.0%
31940
 
4.5%
ValueCountFrequency (%)
13947
9.2%
23419
8.0%
31940
 
4.5%
42513
5.9%
55946
13.9%
ValueCountFrequency (%)
1011968
27.9%
95673
13.2%
82859
 
6.7%
72158
 
5.0%
62410
 
5.6%

D19_GESAMT_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.198608549
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:42.350465image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17
median9
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.321973998
Coefficient of variation (CV)0.2832156194
Kurtosis1.004831311
Mean8.198608549
Median Absolute Deviation (MAD)1
Skewness-1.375764227
Sum351171
Variance5.391563249
MonotonicityNot monotonic
2021-05-29T15:56:42.456321image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1017798
41.6%
99478
22.1%
84137
 
9.7%
54035
 
9.4%
72149
 
5.0%
61807
 
4.2%
21066
 
2.5%
4984
 
2.3%
1736
 
1.7%
3643
 
1.5%
ValueCountFrequency (%)
1736
 
1.7%
21066
 
2.5%
3643
 
1.5%
4984
 
2.3%
54035
9.4%
ValueCountFrequency (%)
1017798
41.6%
99478
22.1%
84137
 
9.7%
72149
 
5.0%
61807
 
4.2%

D19_GESAMT_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.557303948
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:42.559023image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median9
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.023293941
Coefficient of variation (CV)0.4000492718
Kurtosis-0.5693230136
Mean7.557303948
Median Absolute Deviation (MAD)1
Skewness-0.9227882261
Sum323702
Variance9.140306254
MonotonicityNot monotonic
2021-05-29T15:56:42.665695image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1019768
46.2%
95012
 
11.7%
54226
 
9.9%
12672
 
6.2%
82183
 
5.1%
22052
 
4.8%
61947
 
4.5%
41827
 
4.3%
71779
 
4.2%
31367
 
3.2%
ValueCountFrequency (%)
12672
6.2%
22052
4.8%
31367
 
3.2%
41827
4.3%
54226
9.9%
ValueCountFrequency (%)
1019768
46.2%
95012
 
11.7%
82183
 
5.1%
71779
 
4.2%
61947
 
4.5%

D19_GESAMT_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing7526
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean2.929362449
Minimum0
Maximum10
Zeros23181
Zeros (%)54.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:42.769132image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.309480951
Coefficient of variation (CV)1.471132721
Kurtosis-1.083319447
Mean2.929362449
Median Absolute Deviation (MAD)0
Skewness0.8967216415
Sum103427
Variance18.57162607
MonotonicityNot monotonic
2021-05-29T15:56:42.875891image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
023181
54.1%
108227
 
19.2%
51006
 
2.3%
8600
 
1.4%
7582
 
1.4%
3515
 
1.2%
9348
 
0.8%
1262
 
0.6%
2217
 
0.5%
6202
 
0.5%
(Missing)7526
 
17.6%
ValueCountFrequency (%)
023181
54.1%
1262
 
0.6%
2217
 
0.5%
3515
 
1.2%
4167
 
0.4%
ValueCountFrequency (%)
108227
19.2%
9348
 
0.8%
8600
 
1.4%
7582
 
1.4%
6202
 
0.5%

D19_HANDWERK
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.72381108
Minimum0
Maximum7
Zeros30723
Zeros (%)71.7%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:42.972260image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.764528831
Coefficient of variation (CV)1.603730747
Kurtosis-0.9497943579
Mean1.72381108
Median Absolute Deviation (MAD)0
Skewness1.003091992
Sum73836
Variance7.642619655
MonotonicityNot monotonic
2021-05-29T15:56:43.078909image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
030723
71.7%
69521
 
22.2%
72127
 
5.0%
3235
 
0.5%
5218
 
0.5%
25
 
< 0.1%
44
 
< 0.1%
ValueCountFrequency (%)
030723
71.7%
25
 
< 0.1%
3235
 
0.5%
44
 
< 0.1%
5218
 
0.5%
ValueCountFrequency (%)
72127
 
5.0%
69521
22.2%
5218
 
0.5%
44
 
< 0.1%
3235
 
0.5%

D19_HAUS_DEKO
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.635678099
Minimum0
Maximum7
Zeros28399
Zeros (%)66.3%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:43.178919image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.479792052
Coefficient of variation (CV)1.516063615
Kurtosis-0.7675388329
Mean1.635678099
Median Absolute Deviation (MAD)0
Skewness1.018576796
Sum70061
Variance6.14936862
MonotonicityNot monotonic
2021-05-29T15:56:43.271360image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
028399
66.3%
67992
 
18.7%
32768
 
6.5%
51530
 
3.6%
2756
 
1.8%
1660
 
1.5%
4371
 
0.9%
7357
 
0.8%
ValueCountFrequency (%)
028399
66.3%
1660
 
1.5%
2756
 
1.8%
32768
 
6.5%
4371
 
0.9%
ValueCountFrequency (%)
7357
 
0.8%
67992
18.7%
51530
 
3.6%
4371
 
0.9%
32768
 
6.5%

D19_KINDERARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.168164733
Minimum0
Maximum7
Zeros33680
Zeros (%)78.6%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:43.366549image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.34102151
Coefficient of variation (CV)2.004016595
Kurtosis0.7972043708
Mean1.168164733
Median Absolute Deviation (MAD)0
Skewness1.619165578
Sum50036
Variance5.480381711
MonotonicityNot monotonic
2021-05-29T15:56:43.463567image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
033680
78.6%
64975
 
11.6%
71676
 
3.9%
31170
 
2.7%
5676
 
1.6%
2332
 
0.8%
4192
 
0.4%
1132
 
0.3%
ValueCountFrequency (%)
033680
78.6%
1132
 
0.3%
2332
 
0.8%
31170
 
2.7%
4192
 
0.4%
ValueCountFrequency (%)
71676
 
3.9%
64975
11.6%
5676
 
1.6%
4192
 
0.4%
31170
 
2.7%

D19_KONSUMTYP
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing7526
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean3.681394624
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:43.550669image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.751108952
Coefficient of variation (CV)0.7473007469
Kurtosis-0.2409523378
Mean3.681394624
Median Absolute Deviation (MAD)1
Skewness1.081196607
Sum129979
Variance7.568600468
MonotonicityNot monotonic
2021-05-29T15:56:43.645513image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
311502
26.9%
17757
18.1%
96350
14.8%
25968
13.9%
41597
 
3.7%
61577
 
3.7%
5556
 
1.3%
(Missing)7526
17.6%
ValueCountFrequency (%)
17757
18.1%
25968
13.9%
311502
26.9%
41597
 
3.7%
5556
 
1.3%
ValueCountFrequency (%)
96350
14.8%
61577
 
3.7%
5556
 
1.3%
41597
 
3.7%
311502
26.9%

D19_KONSUMTYP_MAX
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.598090258
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:43.734178image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q38
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.211879259
Coefficient of variation (CV)0.698524622
Kurtosis-1.722185233
Mean4.598090258
Median Absolute Deviation (MAD)2
Skewness0.3257588008
Sum196950
Variance10.31616837
MonotonicityNot monotonic
2021-05-29T15:56:43.829318image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
214366
33.5%
89535
22.3%
97526
17.6%
16265
14.6%
32625
 
6.1%
42516
 
5.9%
ValueCountFrequency (%)
16265
14.6%
214366
33.5%
32625
 
6.1%
42516
 
5.9%
89535
22.3%
ValueCountFrequency (%)
97526
17.6%
89535
22.3%
42516
 
5.9%
32625
 
6.1%
214366
33.5%

D19_KOSMETIK
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.147713212
Minimum0
Maximum7
Zeros28543
Zeros (%)66.6%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:43.919137image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.054435537
Coefficient of variation (CV)1.422180355
Kurtosis-1.407166484
Mean2.147713212
Median Absolute Deviation (MAD)0
Skewness0.7413451557
Sum91993
Variance9.32957645
MonotonicityNot monotonic
2021-05-29T15:56:44.010636image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
028543
66.6%
67494
 
17.5%
76632
 
15.5%
380
 
0.2%
559
 
0.1%
412
 
< 0.1%
29
 
< 0.1%
14
 
< 0.1%
ValueCountFrequency (%)
028543
66.6%
14
 
< 0.1%
29
 
< 0.1%
380
 
0.2%
412
 
< 0.1%
ValueCountFrequency (%)
76632
15.5%
67494
17.5%
559
 
0.1%
412
 
< 0.1%
380
 
0.2%

D19_LEBENSMITTEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6944645484
Minimum0
Maximum7
Zeros37291
Zeros (%)87.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:44.097834image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.864956963
Coefficient of variation (CV)2.685460284
Kurtosis4.184987495
Mean0.6944645484
Median Absolute Deviation (MAD)0
Skewness2.437469637
Sum29746
Variance3.478064474
MonotonicityNot monotonic
2021-05-29T15:56:44.192253image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
037291
87.1%
63313
 
7.7%
3995
 
2.3%
5553
 
1.3%
7549
 
1.3%
283
 
0.2%
129
 
0.1%
420
 
< 0.1%
ValueCountFrequency (%)
037291
87.1%
129
 
0.1%
283
 
0.2%
3995
 
2.3%
420
 
< 0.1%
ValueCountFrequency (%)
7549
 
1.3%
63313
7.7%
5553
 
1.3%
420
 
< 0.1%
3995
 
2.3%

D19_LETZTER_KAUF_BRANCHE
Categorical

MISSING

Distinct35
Distinct (%)0.1%
Missing7526
Missing (%)17.6%
Memory size334.8 KiB
D19_UNBEKANNT
10115 
D19_SONSTIGE
2771 
D19_VERSICHERUNGEN
2576 
D19_VOLLSORTIMENT
2315 
D19_HAUS_DEKO
2216 
Other values (30)
15314 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowD19_BEKLEIDUNG_GEH
2nd rowD19_UNBEKANNT
3rd rowD19_UNBEKANNT
4th rowD19_LEBENSMITTEL
5th rowD19_BANKEN_GROSS

Common Values

ValueCountFrequency (%)
D19_UNBEKANNT10115
23.6%
D19_SONSTIGE2771
 
6.5%
D19_VERSICHERUNGEN2576
 
6.0%
D19_VOLLSORTIMENT2315
 
5.4%
D19_HAUS_DEKO2216
 
5.2%
D19_BUCH_CD2103
 
4.9%
D19_DROGERIEARTIKEL1101
 
2.6%
D19_SCHUHE1085
 
2.5%
D19_BEKLEIDUNG_GEH1073
 
2.5%
D19_BEKLEIDUNG_REST1014
 
2.4%
Other values (25)8938
20.9%
(Missing)7526
17.6%

D19_LOTTO
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7526
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean2.931316736
Minimum0
Maximum7
Zeros20136
Zeros (%)47.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:44.407345image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.391546847
Coefficient of variation (CV)1.157004566
Kurtosis-1.888216768
Mean2.931316736
Median Absolute Deviation (MAD)0
Skewness0.3048574838
Sum103496
Variance11.50259002
MonotonicityNot monotonic
2021-05-29T15:56:44.501222image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
020136
47.0%
712812
29.9%
62196
 
5.1%
388
 
0.2%
574
 
0.2%
21
 
< 0.1%
(Missing)7526
 
17.6%
ValueCountFrequency (%)
020136
47.0%
21
 
< 0.1%
388
 
0.2%
574
 
0.2%
62196
 
5.1%
ValueCountFrequency (%)
712812
29.9%
62196
 
5.1%
574
 
0.2%
388
 
0.2%
21
 
< 0.1%

D19_NAHRUNGSERGAENZUNG
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5751406626
Minimum0
Maximum7
Zeros38321
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:44.589756image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.730934418
Coefficient of variation (CV)3.009584491
Kurtosis6.117875667
Mean0.5751406626
Median Absolute Deviation (MAD)0
Skewness2.801083794
Sum24635
Variance2.99613396
MonotonicityNot monotonic
2021-05-29T15:56:44.685545image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
038321
89.5%
62559
 
6.0%
3676
 
1.6%
7619
 
1.4%
5528
 
1.2%
260
 
0.1%
140
 
0.1%
430
 
0.1%
ValueCountFrequency (%)
038321
89.5%
140
 
0.1%
260
 
0.1%
3676
 
1.6%
430
 
0.1%
ValueCountFrequency (%)
7619
 
1.4%
62559
6.0%
5528
 
1.2%
430
 
0.1%
3676
 
1.6%

D19_RATGEBER
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9255714052
Minimum0
Maximum7
Zeros35102
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:44.776217image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.0795642
Coefficient of variation (CV)2.246789592
Kurtosis1.996015082
Mean0.9255714052
Median Absolute Deviation (MAD)0
Skewness1.944204608
Sum39645
Variance4.324587263
MonotonicityNot monotonic
2021-05-29T15:56:44.884729image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
035102
82.0%
64621
 
10.8%
31043
 
2.4%
2638
 
1.5%
5595
 
1.4%
7522
 
1.2%
4191
 
0.4%
1121
 
0.3%
ValueCountFrequency (%)
035102
82.0%
1121
 
0.3%
2638
 
1.5%
31043
 
2.4%
4191
 
0.4%
ValueCountFrequency (%)
7522
 
1.2%
64621
10.8%
5595
 
1.4%
4191
 
0.4%
31043
 
2.4%

D19_REISEN
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.088599911
Minimum0
Maximum7
Zeros27986
Zeros (%)65.3%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:44.986214image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.927793259
Coefficient of variation (CV)1.401797081
Kurtosis-1.389809167
Mean2.088599911
Median Absolute Deviation (MAD)0
Skewness0.7360157479
Sum89461
Variance8.571973369
MonotonicityNot monotonic
2021-05-29T15:56:45.092144image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
027986
65.3%
69741
 
22.7%
73830
 
8.9%
3502
 
1.2%
5353
 
0.8%
2336
 
0.8%
459
 
0.1%
126
 
0.1%
ValueCountFrequency (%)
027986
65.3%
126
 
0.1%
2336
 
0.8%
3502
 
1.2%
459
 
0.1%
ValueCountFrequency (%)
73830
 
8.9%
69741
22.7%
5353
 
0.8%
459
 
0.1%
3502
 
1.2%

D19_SAMMELARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.507015619
Minimum0
Maximum7
Zeros31815
Zeros (%)74.3%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:45.193077image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.591904934
Coefficient of variation (CV)1.719892549
Kurtosis-0.5697749271
Mean1.507015619
Median Absolute Deviation (MAD)0
Skewness1.172569631
Sum64550
Variance6.717971185
MonotonicityNot monotonic
2021-05-29T15:56:45.299958image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
031815
74.3%
68884
 
20.7%
7898
 
2.1%
5599
 
1.4%
3497
 
1.2%
4101
 
0.2%
231
 
0.1%
18
 
< 0.1%
ValueCountFrequency (%)
031815
74.3%
18
 
< 0.1%
231
 
0.1%
3497
 
1.2%
4101
 
0.2%
ValueCountFrequency (%)
7898
 
2.1%
68884
20.7%
5599
 
1.4%
4101
 
0.2%
3497
 
1.2%

D19_SCHUHE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5482688581
Minimum0
Maximum7
Zeros37362
Zeros (%)87.2%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:45.409150image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.549446909
Coefficient of variation (CV)2.826071345
Kurtosis6.478267348
Mean0.5482688581
Median Absolute Deviation (MAD)0
Skewness2.789395378
Sum23484
Variance2.400785724
MonotonicityNot monotonic
2021-05-29T15:56:45.518309image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
037362
87.2%
61797
 
4.2%
31773
 
4.1%
5861
 
2.0%
2550
 
1.3%
7189
 
0.4%
1183
 
0.4%
4118
 
0.3%
ValueCountFrequency (%)
037362
87.2%
1183
 
0.4%
2550
 
1.3%
31773
 
4.1%
4118
 
0.3%
ValueCountFrequency (%)
7189
 
0.4%
61797
4.2%
5861
2.0%
4118
 
0.3%
31773
4.1%

D19_SONSTIGE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.636448533
Minimum0
Maximum7
Zeros15027
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:45.620981image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.885462871
Coefficient of variation (CV)0.7934837644
Kurtosis-1.712807246
Mean3.636448533
Median Absolute Deviation (MAD)2
Skewness-0.3078013295
Sum155760
Variance8.325895978
MonotonicityNot monotonic
2021-05-29T15:56:45.732890image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
616228
37.9%
015027
35.1%
75159
 
12.0%
33022
 
7.1%
51922
 
4.5%
2667
 
1.6%
4487
 
1.1%
1321
 
0.7%
ValueCountFrequency (%)
015027
35.1%
1321
 
0.7%
2667
 
1.6%
33022
 
7.1%
4487
 
1.1%
ValueCountFrequency (%)
75159
 
12.0%
616228
37.9%
51922
 
4.5%
4487
 
1.1%
33022
 
7.1%

D19_SOZIALES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7526
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean1.694451525
Minimum0
Maximum5
Zeros9585
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:45.827780image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.50872895
Coefficient of variation (CV)0.8903936923
Kurtosis-0.9846823089
Mean1.694451525
Median Absolute Deviation (MAD)1
Skewness0.494906352
Sum59826
Variance2.276263045
MonotonicityNot monotonic
2021-05-29T15:56:45.915212image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
110978
25.6%
09585
22.4%
38714
20.3%
43154
 
7.4%
51446
 
3.4%
21430
 
3.3%
(Missing)7526
17.6%
ValueCountFrequency (%)
09585
22.4%
110978
25.6%
21430
 
3.3%
38714
20.3%
43154
 
7.4%
ValueCountFrequency (%)
51446
 
3.4%
43154
 
7.4%
38714
20.3%
21430
 
3.3%
110978
25.6%

D19_TECHNIK
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.445661056
Minimum0
Maximum7
Zeros25431
Zeros (%)59.4%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:45.997303image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.014842254
Coefficient of variation (CV)1.232731023
Kurtosis-1.699553738
Mean2.445661056
Median Absolute Deviation (MAD)0
Skewness0.4726402389
Sum104755
Variance9.089273816
MonotonicityNot monotonic
2021-05-29T15:56:46.088331image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
025431
59.4%
611089
25.9%
74379
 
10.2%
3895
 
2.1%
5882
 
2.1%
487
 
0.2%
255
 
0.1%
115
 
< 0.1%
ValueCountFrequency (%)
025431
59.4%
115
 
< 0.1%
255
 
0.1%
3895
 
2.1%
487
 
0.2%
ValueCountFrequency (%)
74379
 
10.2%
611089
25.9%
5882
 
2.1%
487
 
0.2%
3895
 
2.1%

D19_TELKO_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05084864474
Minimum0
Maximum6
Zeros41050
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:46.174489image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2668163611
Coefficient of variation (CV)5.247265931
Kurtosis63.51330714
Mean0.05084864474
Median Absolute Deviation (MAD)0
Skewness6.766888931
Sum2178
Variance0.07119097058
MonotonicityNot monotonic
2021-05-29T15:56:46.267221image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
041050
95.8%
11450
 
3.4%
2295
 
0.7%
322
 
0.1%
410
 
< 0.1%
54
 
< 0.1%
62
 
< 0.1%
ValueCountFrequency (%)
041050
95.8%
11450
 
3.4%
2295
 
0.7%
322
 
0.1%
410
 
< 0.1%
ValueCountFrequency (%)
62
 
< 0.1%
54
 
< 0.1%
410
 
< 0.1%
322
 
0.1%
2295
0.7%

D19_TELKO_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09396960288
Minimum0
Maximum6
Zeros39657
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:46.356347image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3645673165
Coefficient of variation (CV)3.879630278
Kurtosis31.64969978
Mean0.09396960288
Median Absolute Deviation (MAD)0
Skewness4.846820483
Sum4025
Variance0.1329093283
MonotonicityNot monotonic
2021-05-29T15:56:46.450343image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
039657
92.6%
12445
 
5.7%
2649
 
1.5%
360
 
0.1%
414
 
< 0.1%
66
 
< 0.1%
52
 
< 0.1%
ValueCountFrequency (%)
039657
92.6%
12445
 
5.7%
2649
 
1.5%
360
 
0.1%
414
 
< 0.1%
ValueCountFrequency (%)
66
 
< 0.1%
52
 
< 0.1%
414
 
< 0.1%
360
 
0.1%
2649
1.5%

D19_TELKO_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.469777975
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:46.542541image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.320907488
Coefficient of variation (CV)0.1394866375
Kurtosis11.09863814
Mean9.469777975
Median Absolute Deviation (MAD)0
Skewness-3.20240784
Sum405619
Variance1.744796591
MonotonicityNot monotonic
2021-05-29T15:56:46.634477image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1033398
78.0%
94631
 
10.8%
81628
 
3.8%
51310
 
3.1%
7744
 
1.7%
6649
 
1.5%
4185
 
0.4%
1115
 
0.3%
290
 
0.2%
383
 
0.2%
ValueCountFrequency (%)
1115
 
0.3%
290
 
0.2%
383
 
0.2%
4185
 
0.4%
51310
3.1%
ValueCountFrequency (%)
1033398
78.0%
94631
 
10.8%
81628
 
3.8%
7744
 
1.7%
6649
 
1.5%

D19_TELKO_MOBILE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8659444821
Minimum0
Maximum7
Zeros35991
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:46.719968image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.047166635
Coefficient of variation (CV)2.364085317
Kurtosis2.300497666
Mean0.8659444821
Median Absolute Deviation (MAD)0
Skewness2.034681183
Sum37091
Variance4.190891231
MonotonicityNot monotonic
2021-05-29T15:56:46.815450image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
035991
84.0%
64645
 
10.8%
3943
 
2.2%
5609
 
1.4%
7375
 
0.9%
4115
 
0.3%
2107
 
0.2%
148
 
0.1%
ValueCountFrequency (%)
035991
84.0%
148
 
0.1%
2107
 
0.2%
3943
 
2.2%
4115
 
0.3%
ValueCountFrequency (%)
7375
 
0.9%
64645
10.8%
5609
 
1.4%
4115
 
0.3%
3943
 
2.2%

D19_TELKO_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.777391264
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:46.917178image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9015098791
Coefficient of variation (CV)0.09220351879
Kurtosis27.69763449
Mean9.777391264
Median Absolute Deviation (MAD)0
Skewness-5.042918246
Sum418795
Variance0.8127200621
MonotonicityNot monotonic
2021-05-29T15:56:47.027179image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1039042
91.1%
91761
 
4.1%
5820
 
1.9%
8723
 
1.7%
6205
 
0.5%
7151
 
0.4%
446
 
0.1%
331
 
0.1%
130
 
0.1%
224
 
0.1%
ValueCountFrequency (%)
130
 
0.1%
224
 
0.1%
331
 
0.1%
446
 
0.1%
5820
1.9%
ValueCountFrequency (%)
1039042
91.1%
91761
 
4.1%
8723
 
1.7%
7151
 
0.4%
6205
 
0.5%

D19_TELKO_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.977657414
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:47.132851image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.262598957
Coefficient of variation (CV)0.02631869848
Kurtosis348.3448034
Mean9.977657414
Median Absolute Deviation (MAD)0
Skewness-16.72881458
Sum427373
Variance0.0689582122
MonotonicityNot monotonic
2021-05-29T15:56:47.239524image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1042353
98.9%
9260
 
0.6%
8110
 
0.3%
737
 
0.1%
531
 
0.1%
628
 
0.1%
46
 
< 0.1%
34
 
< 0.1%
13
 
< 0.1%
21
 
< 0.1%
ValueCountFrequency (%)
13
 
< 0.1%
21
 
< 0.1%
34
 
< 0.1%
46
 
< 0.1%
531
0.1%
ValueCountFrequency (%)
1042353
98.9%
9260
 
0.6%
8110
 
0.3%
737
 
0.1%
628
 
0.1%

D19_TELKO_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing7526
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean0.01246211799
Minimum0
Maximum10
Zeros35262
Zeros (%)82.3%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:47.338145image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3507894112
Coefficient of variation (CV)28.1484585
Kurtosis799.778707
Mean0.01246211799
Median Absolute Deviation (MAD)0
Skewness28.27404961
Sum440
Variance0.123053211
MonotonicityNot monotonic
2021-05-29T15:56:47.440461image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
035262
82.3%
1043
 
0.1%
52
 
< 0.1%
(Missing)7526
 
17.6%
ValueCountFrequency (%)
035262
82.3%
52
 
< 0.1%
1043
 
0.1%
ValueCountFrequency (%)
1043
 
0.1%
52
 
< 0.1%
035262
82.3%

D19_TELKO_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.627226671
Minimum0
Maximum7
Zeros37808
Zeros (%)88.3%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:47.536788image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.76954194
Coefficient of variation (CV)2.821216031
Kurtosis4.852339672
Mean0.627226671
Median Absolute Deviation (MAD)0
Skewness2.574687489
Sum26866
Variance3.131278676
MonotonicityNot monotonic
2021-05-29T15:56:47.644328image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
037808
88.3%
63154
 
7.4%
3769
 
1.8%
5715
 
1.7%
7221
 
0.5%
499
 
0.2%
250
 
0.1%
117
 
< 0.1%
ValueCountFrequency (%)
037808
88.3%
117
 
< 0.1%
250
 
0.1%
3769
 
1.8%
499
 
0.2%
ValueCountFrequency (%)
7221
 
0.5%
63154
7.4%
5715
 
1.7%
499
 
0.2%
3769
 
1.8%

D19_TIERARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2721733243
Minimum0
Maximum7
Zeros40738
Zeros (%)95.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:47.745405image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.243032537
Coefficient of variation (CV)4.567062332
Kurtosis19.40693982
Mean0.2721733243
Median Absolute Deviation (MAD)0
Skewness4.555122358
Sum11658
Variance1.545129889
MonotonicityNot monotonic
2021-05-29T15:56:47.872792image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
040738
95.1%
6829
 
1.9%
7619
 
1.4%
3372
 
0.9%
5205
 
0.5%
436
 
0.1%
232
 
0.1%
12
 
< 0.1%
ValueCountFrequency (%)
040738
95.1%
12
 
< 0.1%
232
 
0.1%
3372
 
0.9%
436
 
0.1%
ValueCountFrequency (%)
7619
1.4%
6829
1.9%
5205
 
0.5%
436
 
0.1%
3372
0.9%

D19_VERSAND_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7832512315
Minimum0
Maximum6
Zeros27471
Zeros (%)64.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:47.976965image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.291907736
Coefficient of variation (CV)1.649416795
Kurtosis2.37141977
Mean0.7832512315
Median Absolute Deviation (MAD)0
Skewness1.746948255
Sum33549
Variance1.669025598
MonotonicityNot monotonic
2021-05-29T15:56:48.074294image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
027471
64.1%
15875
 
13.7%
24711
 
11.0%
31972
 
4.6%
41861
 
4.3%
5766
 
1.8%
6177
 
0.4%
ValueCountFrequency (%)
027471
64.1%
15875
 
13.7%
24711
 
11.0%
31972
 
4.6%
41861
 
4.3%
ValueCountFrequency (%)
6177
 
0.4%
5766
 
1.8%
41861
 
4.3%
31972
4.6%
24711
11.0%

D19_VERSAND_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.206476315
Minimum0
Maximum6
Zeros23150
Zeros (%)54.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:48.165640image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.652162099
Coefficient of variation (CV)1.369411135
Kurtosis0.4834056438
Mean1.206476315
Median Absolute Deviation (MAD)0
Skewness1.253738207
Sum51677
Variance2.729639603
MonotonicityNot monotonic
2021-05-29T15:56:48.253324image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
023150
54.0%
15611
 
13.1%
25560
 
13.0%
43107
 
7.3%
32692
 
6.3%
51836
 
4.3%
6877
 
2.0%
ValueCountFrequency (%)
023150
54.0%
15611
 
13.1%
25560
 
13.0%
32692
 
6.3%
43107
 
7.3%
ValueCountFrequency (%)
6877
 
2.0%
51836
 
4.3%
43107
7.3%
32692
6.3%
25560
13.0%

D19_VERSAND_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.142226788
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:48.343033image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median9
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.034255131
Coefficient of variation (CV)0.4248332098
Kurtosis-0.8807083176
Mean7.142226788
Median Absolute Deviation (MAD)1
Skewness-0.7097194669
Sum305923
Variance9.206704203
MonotonicityNot monotonic
2021-05-29T15:56:48.436104image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1014670
34.2%
96903
16.1%
55225
 
12.2%
82950
 
6.9%
12875
 
6.7%
22548
 
5.9%
62157
 
5.0%
71990
 
4.6%
41983
 
4.6%
31532
 
3.6%
ValueCountFrequency (%)
12875
6.7%
22548
5.9%
31532
 
3.6%
41983
 
4.6%
55225
12.2%
ValueCountFrequency (%)
1014670
34.2%
96903
16.1%
82950
 
6.9%
71990
 
4.6%
62157
 
5.0%

D19_VERSAND_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.448205823
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:48.535412image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q18
median9
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.174877704
Coefficient of variation (CV)0.257436638
Kurtosis1.869063678
Mean8.448205823
Median Absolute Deviation (MAD)1
Skewness-1.611856604
Sum361862
Variance4.730093029
MonotonicityNot monotonic
2021-05-29T15:56:48.643395image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1019732
46.1%
99648
22.5%
83935
 
9.2%
53419
 
8.0%
71877
 
4.4%
61535
 
3.6%
2867
 
2.0%
4744
 
1.7%
1576
 
1.3%
3500
 
1.2%
ValueCountFrequency (%)
1576
 
1.3%
2867
 
2.0%
3500
 
1.2%
4744
 
1.7%
53419
8.0%
ValueCountFrequency (%)
1019732
46.1%
99648
22.5%
83935
 
9.2%
71877
 
4.4%
61535
 
3.6%

D19_VERSAND_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.822566713
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:48.746062image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.935505166
Coefficient of variation (CV)0.3752611226
Kurtosis-0.1980577297
Mean7.822566713
Median Absolute Deviation (MAD)0
Skewness-1.099342817
Sum335064
Variance8.617190582
MonotonicityNot monotonic
2021-05-29T15:56:48.846525image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1021726
50.7%
95047
 
11.8%
53720
 
8.7%
12315
 
5.4%
82013
 
4.7%
21868
 
4.4%
61792
 
4.2%
41578
 
3.7%
71560
 
3.6%
31214
 
2.8%
ValueCountFrequency (%)
12315
5.4%
21868
4.4%
31214
 
2.8%
41578
3.7%
53720
8.7%
ValueCountFrequency (%)
1021726
50.7%
95047
 
11.8%
82013
 
4.7%
71560
 
3.6%
61792
 
4.2%

D19_VERSAND_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing7526
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean2.651343926
Minimum0
Maximum10
Zeros24464
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:48.951786image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.204105631
Coefficient of variation (CV)1.585650805
Kurtosis-0.7851734137
Mean2.651343926
Median Absolute Deviation (MAD)0
Skewness1.052326314
Sum93611
Variance17.67450416
MonotonicityNot monotonic
2021-05-29T15:56:49.085296image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
024464
57.1%
107590
 
17.7%
5884
 
2.1%
7497
 
1.2%
8492
 
1.1%
3450
 
1.1%
9280
 
0.7%
2195
 
0.5%
1168
 
0.4%
6150
 
0.4%
(Missing)7526
 
17.6%
ValueCountFrequency (%)
024464
57.1%
1168
 
0.4%
2195
 
0.5%
3450
 
1.1%
4137
 
0.3%
ValueCountFrequency (%)
107590
17.7%
9280
 
0.7%
8492
 
1.1%
7497
 
1.2%
6150
 
0.4%

D19_VERSAND_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7377255854
Minimum0
Maximum7
Zeros36177
Zeros (%)84.5%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:49.200816image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.820275092
Coefficient of variation (CV)2.467414887
Kurtosis3.49764506
Mean0.7377255854
Median Absolute Deviation (MAD)0
Skewness2.262244117
Sum31599
Variance3.313401411
MonotonicityNot monotonic
2021-05-29T15:56:49.329046image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
036177
84.5%
63039
 
7.1%
31874
 
4.4%
51017
 
2.4%
2243
 
0.6%
7202
 
0.5%
4159
 
0.4%
1122
 
0.3%
ValueCountFrequency (%)
036177
84.5%
1122
 
0.3%
2243
 
0.6%
31874
 
4.4%
4159
 
0.4%
ValueCountFrequency (%)
7202
 
0.5%
63039
7.1%
51017
 
2.4%
4159
 
0.4%
31874
4.4%

D19_VERSI_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1083043448
Minimum0
Maximum5
Zeros39452
Zeros (%)92.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:49.440535image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4104131181
Coefficient of variation (CV)3.789442787
Kurtosis24.72175975
Mean0.1083043448
Median Absolute Deviation (MAD)0
Skewness4.568492051
Sum4639
Variance0.1684389275
MonotonicityNot monotonic
2021-05-29T15:56:49.548154image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
039452
92.1%
12347
 
5.5%
2863
 
2.0%
3122
 
0.3%
445
 
0.1%
54
 
< 0.1%
ValueCountFrequency (%)
039452
92.1%
12347
 
5.5%
2863
 
2.0%
3122
 
0.3%
445
 
0.1%
ValueCountFrequency (%)
54
 
< 0.1%
445
 
0.1%
3122
 
0.3%
2863
 
2.0%
12347
5.5%

D19_VERSI_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1922583055
Minimum0
Maximum6
Zeros37442
Zeros (%)87.4%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:49.638866image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5757389734
Coefficient of variation (CV)2.994611712
Kurtosis14.97368466
Mean0.1922583055
Median Absolute Deviation (MAD)0
Skewness3.605622239
Sum8235
Variance0.3314753655
MonotonicityNot monotonic
2021-05-29T15:56:49.737614image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
037442
87.4%
13252
 
7.6%
21632
 
3.8%
3332
 
0.8%
4155
 
0.4%
517
 
< 0.1%
63
 
< 0.1%
ValueCountFrequency (%)
037442
87.4%
13252
 
7.6%
21632
 
3.8%
3332
 
0.8%
4155
 
0.4%
ValueCountFrequency (%)
63
 
< 0.1%
517
 
< 0.1%
4155
 
0.4%
3332
 
0.8%
21632
3.8%

D19_VERSI_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.165549926
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:49.858649image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.889091213
Coefficient of variation (CV)0.2061077871
Kurtosis6.187817885
Mean9.165549926
Median Absolute Deviation (MAD)0
Skewness-2.593980584
Sum392588
Variance3.568665611
MonotonicityNot monotonic
2021-05-29T15:56:49.959150image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1032139
75.0%
93681
 
8.6%
81622
 
3.8%
51563
 
3.6%
61130
 
2.6%
7880
 
2.1%
2734
 
1.7%
4410
 
1.0%
1396
 
0.9%
3278
 
0.6%
ValueCountFrequency (%)
1396
 
0.9%
2734
1.7%
3278
 
0.6%
4410
 
1.0%
51563
3.6%
ValueCountFrequency (%)
1032139
75.0%
93681
 
8.6%
81622
 
3.8%
7880
 
2.1%
61130
 
2.6%

D19_VERSI_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.904326104
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:50.074387image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6159444532
Coefficient of variation (CV)0.06218943588
Kurtosis61.57562723
Mean9.904326104
Median Absolute Deviation (MAD)0
Skewness-7.581331459
Sum424232
Variance0.3793875694
MonotonicityNot monotonic
2021-05-29T15:56:50.182151image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1041383
96.6%
9569
 
1.3%
5455
 
1.1%
8252
 
0.6%
687
 
0.2%
755
 
0.1%
411
 
< 0.1%
19
 
< 0.1%
26
 
< 0.1%
36
 
< 0.1%
ValueCountFrequency (%)
19
 
< 0.1%
26
 
< 0.1%
36
 
< 0.1%
411
 
< 0.1%
5455
1.1%
ValueCountFrequency (%)
1041383
96.6%
9569
 
1.3%
8252
 
0.6%
755
 
0.1%
687
 
0.2%

D19_VERSI_ONLINE_DATUM
Real number (ℝ≥0)

SKEWED

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.985245021
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:50.285994image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.240658245
Coefficient of variation (CV)0.02410138604
Kurtosis500.3226795
Mean9.985245021
Median Absolute Deviation (MAD)0
Skewness-20.76506053
Sum427698
Variance0.05791639086
MonotonicityNot monotonic
2021-05-29T15:56:50.389553image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1042598
99.5%
985
 
0.2%
851
 
0.1%
532
 
0.1%
730
 
0.1%
622
 
0.1%
38
 
< 0.1%
44
 
< 0.1%
13
 
< 0.1%
ValueCountFrequency (%)
13
 
< 0.1%
38
 
< 0.1%
44
 
< 0.1%
532
0.1%
622
0.1%
ValueCountFrequency (%)
1042598
99.5%
985
 
0.2%
851
 
0.1%
730
 
0.1%
622
 
0.1%

D19_VERSI_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing7526
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean0.01274534795
Minimum0
Maximum10
Zeros35260
Zeros (%)82.3%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:50.504912image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3527920934
Coefficient of variation (CV)27.68006765
Kurtosis783.8783395
Mean0.01274534795
Median Absolute Deviation (MAD)0
Skewness27.95293168
Sum450
Variance0.1244622612
MonotonicityNot monotonic
2021-05-29T15:56:50.604365image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
035260
82.3%
1043
 
0.1%
54
 
< 0.1%
(Missing)7526
 
17.6%
ValueCountFrequency (%)
035260
82.3%
54
 
< 0.1%
1043
 
0.1%
ValueCountFrequency (%)
1043
 
0.1%
54
 
< 0.1%
035260
82.3%

D19_VERSICHERUNGEN
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.207666986
Minimum0
Maximum7
Zeros31891
Zeros (%)74.5%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:50.699083image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.212312528
Coefficient of variation (CV)1.831889548
Kurtosis0.4104389677
Mean1.207666986
Median Absolute Deviation (MAD)0
Skewness1.466233359
Sum51728
Variance4.894326722
MonotonicityNot monotonic
2021-05-29T15:56:50.801426image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
031891
74.5%
65303
 
12.4%
32347
 
5.5%
51425
 
3.3%
2634
 
1.5%
4585
 
1.4%
1400
 
0.9%
7248
 
0.6%
ValueCountFrequency (%)
031891
74.5%
1400
 
0.9%
2634
 
1.5%
32347
 
5.5%
4585
 
1.4%
ValueCountFrequency (%)
7248
 
0.6%
65303
12.4%
51425
 
3.3%
4585
 
1.4%
32347
5.5%

D19_VOLLSORTIMENT
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.907314454
Minimum0
Maximum7
Zeros20117
Zeros (%)47.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:50.897929image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.895951369
Coefficient of variation (CV)0.9960915527
Kurtosis-1.842331755
Mean2.907314454
Median Absolute Deviation (MAD)3
Skewness0.1132148007
Sum124529
Variance8.386534329
MonotonicityNot monotonic
2021-05-29T15:56:51.005761image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
020117
47.0%
614572
34.0%
33020
 
7.1%
72424
 
5.7%
51771
 
4.1%
2460
 
1.1%
4275
 
0.6%
1194
 
0.5%
ValueCountFrequency (%)
020117
47.0%
1194
 
0.5%
2460
 
1.1%
33020
 
7.1%
4275
 
0.6%
ValueCountFrequency (%)
72424
 
5.7%
614572
34.0%
51771
 
4.1%
4275
 
0.6%
33020
 
7.1%

D19_WEIN_FEINKOST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8780613079
Minimum0
Maximum7
Zeros36598
Zeros (%)85.4%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:51.117947image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.164692062
Coefficient of variation (CV)2.465308563
Kurtosis2.638232302
Mean0.8780613079
Median Absolute Deviation (MAD)0
Skewness2.123174833
Sum37610
Variance4.685891721
MonotonicityNot monotonic
2021-05-29T15:56:51.235855image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
036598
85.4%
63310
 
7.7%
72050
 
4.8%
3441
 
1.0%
5386
 
0.9%
426
 
0.1%
221
 
< 0.1%
11
 
< 0.1%
ValueCountFrequency (%)
036598
85.4%
11
 
< 0.1%
221
 
< 0.1%
3441
 
1.0%
426
 
0.1%
ValueCountFrequency (%)
72050
4.8%
63310
7.7%
5386
 
0.9%
426
 
0.1%
3441
 
1.0%

DSL_FLAG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing7627
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean0.9812815997
Minimum0
Maximum1
Zeros659
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:51.349648image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1355305999
Coefficient of variation (CV)0.1381159088
Kurtosis48.44949521
Mean0.9812815997
Median Absolute Deviation (MAD)0
Skewness-7.102587055
Sum34547
Variance0.01836854351
MonotonicityNot monotonic
2021-05-29T15:56:51.464554image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
134547
80.7%
0659
 
1.5%
(Missing)7627
 
17.8%
ValueCountFrequency (%)
0659
 
1.5%
134547
80.7%
ValueCountFrequency (%)
134547
80.7%
0659
 
1.5%

EINGEFUEGT_AM
Categorical

HIGH CARDINALITY
MISSING

Distinct1608
Distinct (%)4.6%
Missing7627
Missing (%)17.8%
Memory size334.8 KiB
1992-02-10 00:00:00
18096 
1992-02-12 00:00:00
8141 
1995-02-07 00:00:00
 
511
1993-03-01 00:00:00
 
239
2003-11-18 00:00:00
 
223
Other values (1603)
7996 

Unique

Unique688 ?
Unique (%)2.0%

Sample

1st row1993-11-03 00:00:00
2nd row1992-02-10 00:00:00
3rd row1992-02-10 00:00:00
4th row1992-02-10 00:00:00
5th row1992-02-10 00:00:00

Common Values

ValueCountFrequency (%)
1992-02-10 00:00:0018096
42.2%
1992-02-12 00:00:008141
19.0%
1995-02-07 00:00:00511
 
1.2%
1993-03-01 00:00:00239
 
0.6%
2003-11-18 00:00:00223
 
0.5%
2005-12-16 00:00:00153
 
0.4%
1994-02-03 00:00:00110
 
0.3%
1995-10-17 00:00:0088
 
0.2%
1993-09-22 00:00:0086
 
0.2%
2004-04-14 00:00:0079
 
0.2%
Other values (1598)7480
17.5%
(Missing)7627
17.8%

EINGEZOGENAM_HH_JAHR
Real number (ℝ≥0)

MISSING

Distinct32
Distinct (%)0.1%
Missing6889
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean1998.871689
Minimum1987
Maximum2018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:51.777433image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1987
5-th percentile1994
Q11994
median1997
Q32002
95-th percentile2011
Maximum2018
Range31
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.79569972
Coefficient of variation (CV)0.00289948562
Kurtosis0.2556956316
Mean1998.871689
Median Absolute Deviation (MAD)3
Skewness1.09852715
Sum71847444
Variance33.59013524
MonotonicityNot monotonic
2021-05-29T15:56:51.920372image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
199414458
33.8%
19975109
 
11.9%
20042105
 
4.9%
19981326
 
3.1%
20011308
 
3.1%
20001266
 
3.0%
19991229
 
2.9%
20021205
 
2.8%
20071084
 
2.5%
2008782
 
1.8%
Other values (22)6072
14.2%
(Missing)6889
16.1%
ValueCountFrequency (%)
19873
 
< 0.1%
19887
 
< 0.1%
198915
< 0.1%
199024
0.1%
199133
0.1%
ValueCountFrequency (%)
201822
 
0.1%
201710
 
< 0.1%
201614
 
< 0.1%
2015515
1.2%
2014402
0.9%

EWDICHTE
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7641
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean3.757899523
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:52.034667image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.740302366
Coefficient of variation (CV)0.4631050818
Kurtosis-1.34466679
Mean3.757899523
Median Absolute Deviation (MAD)2
Skewness-0.1707442069
Sum132248
Variance3.028652324
MonotonicityNot monotonic
2021-05-29T15:56:52.135343image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
67727
18.0%
26838
16.0%
56744
15.7%
45707
13.3%
14433
10.3%
33743
8.7%
(Missing)7641
17.8%
ValueCountFrequency (%)
14433
10.3%
26838
16.0%
33743
8.7%
45707
13.3%
56744
15.7%
ValueCountFrequency (%)
67727
18.0%
56744
15.7%
45707
13.3%
33743
8.7%
26838
16.0%

EXTSEL992
Real number (ℝ≥0)

MISSING

Distinct56
Distinct (%)0.2%
Missing15809
Missing (%)36.9%
Infinite0
Infinite (%)0.0%
Mean42.76110124
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:52.254003image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19
Q134
median47
Q355
95-th percentile56
Maximum56
Range55
Interquartile range (IQR)21

Descriptive statistics

Standard deviation13.47189853
Coefficient of variation (CV)0.3150503177
Kurtosis0.01651112706
Mean42.76110124
Median Absolute Deviation (MAD)9
Skewness-0.8428382697
Sum1155576
Variance181.4920501
MonotonicityNot monotonic
2021-05-29T15:56:55.289367image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
566133
 
14.3%
552520
 
5.9%
361430
 
3.3%
351328
 
3.1%
311257
 
2.9%
541239
 
2.9%
531230
 
2.9%
501166
 
2.7%
34951
 
2.2%
23750
 
1.8%
Other values (46)9020
21.1%
(Missing)15809
36.9%
ValueCountFrequency (%)
168
0.2%
2130
0.3%
3114
0.3%
445
 
0.1%
547
 
0.1%
ValueCountFrequency (%)
566133
14.3%
552520
5.9%
541239
 
2.9%
531230
 
2.9%
52340
 
0.8%

FINANZ_ANLEGER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.375248056
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:55.393291image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.545170622
Coefficient of variation (CV)0.650530212
Kurtosis-1.029460659
Mean2.375248056
Median Absolute Deviation (MAD)1
Skewness0.7249220956
Sum101739
Variance2.38755225
MonotonicityNot monotonic
2021-05-29T15:56:55.494040image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
118480
43.1%
29086
21.2%
58345
19.5%
34326
 
10.1%
42596
 
6.1%
ValueCountFrequency (%)
118480
43.1%
29086
21.2%
34326
 
10.1%
42596
 
6.1%
58345
19.5%
ValueCountFrequency (%)
58345
19.5%
42596
 
6.1%
34326
 
10.1%
29086
21.2%
118480
43.1%

FINANZ_HAUSBAUER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.219480307
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:55.590888image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.288541655
Coefficient of variation (CV)0.4002328116
Kurtosis-1.040761095
Mean3.219480307
Median Absolute Deviation (MAD)1
Skewness-0.02454759108
Sum137900
Variance1.660339597
MonotonicityNot monotonic
2021-05-29T15:56:55.692216image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313862
32.4%
510337
24.1%
28355
19.5%
45880
13.7%
14399
 
10.3%
ValueCountFrequency (%)
14399
 
10.3%
28355
19.5%
313862
32.4%
45880
13.7%
510337
24.1%
ValueCountFrequency (%)
510337
24.1%
45880
13.7%
313862
32.4%
28355
19.5%
14399
 
10.3%

FINANZ_MINIMALIST
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.739009642
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:55.791198image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.09310875
Coefficient of variation (CV)0.2923524822
Kurtosis-1.036859549
Mean3.739009642
Median Absolute Deviation (MAD)1
Skewness-0.2565075271
Sum160153
Variance1.194886739
MonotonicityNot monotonic
2021-05-29T15:56:55.893027image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
514710
34.3%
314146
33.0%
48398
19.6%
24994
 
11.7%
1585
 
1.4%
ValueCountFrequency (%)
1585
 
1.4%
24994
 
11.7%
314146
33.0%
48398
19.6%
514710
34.3%
ValueCountFrequency (%)
514710
34.3%
48398
19.6%
314146
33.0%
24994
 
11.7%
1585
 
1.4%

FINANZ_SPARER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.858683725
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:55.992557image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.235200139
Coefficient of variation (CV)0.6645563857
Kurtosis-0.5105097187
Mean1.858683725
Median Absolute Deviation (MAD)0
Skewness1.052637468
Sum79613
Variance1.525719382
MonotonicityNot monotonic
2021-05-29T15:56:56.094391image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
126240
61.3%
47960
 
18.6%
25652
 
13.2%
32338
 
5.5%
5643
 
1.5%
ValueCountFrequency (%)
126240
61.3%
25652
 
13.2%
32338
 
5.5%
47960
 
18.6%
5643
 
1.5%
ValueCountFrequency (%)
5643
 
1.5%
47960
 
18.6%
32338
 
5.5%
25652
 
13.2%
126240
61.3%

FINANZ_UNAUFFAELLIGER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.247916326
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:56.190875image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.49618473
Coefficient of variation (CV)0.6655873764
Kurtosis-0.628329488
Mean2.247916326
Median Absolute Deviation (MAD)1
Skewness0.9310765646
Sum96285
Variance2.238568746
MonotonicityNot monotonic
2021-05-29T15:56:56.297191image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
119324
45.1%
210329
24.1%
57861
18.4%
34278
 
10.0%
41041
 
2.4%
ValueCountFrequency (%)
119324
45.1%
210329
24.1%
34278
 
10.0%
41041
 
2.4%
57861
18.4%
ValueCountFrequency (%)
57861
18.4%
41041
 
2.4%
34278
 
10.0%
210329
24.1%
119324
45.1%

FINANZ_VORSORGER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.261854178
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:56.392014image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9859283044
Coefficient of variation (CV)0.2313378786
Kurtosis0.5956859639
Mean4.261854178
Median Absolute Deviation (MAD)0
Skewness-1.145411282
Sum182548
Variance0.9720546213
MonotonicityNot monotonic
2021-05-29T15:56:56.492707image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
524581
57.4%
39178
 
21.4%
47387
 
17.2%
2874
 
2.0%
1813
 
1.9%
ValueCountFrequency (%)
1813
 
1.9%
2874
 
2.0%
39178
 
21.4%
47387
 
17.2%
524581
57.4%
ValueCountFrequency (%)
524581
57.4%
47387
 
17.2%
39178
 
21.4%
2874
 
2.0%
1813
 
1.9%

FINANZTYP
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.283076133
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:56.582405image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.671750369
Coefficient of variation (CV)0.3903153522
Kurtosis-1.296009315
Mean4.283076133
Median Absolute Deviation (MAD)1
Skewness-0.4613892446
Sum183457
Variance2.794749297
MonotonicityNot monotonic
2021-05-29T15:56:56.687133image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
615281
35.7%
210617
24.8%
57445
17.4%
47326
17.1%
11242
 
2.9%
3922
 
2.2%
ValueCountFrequency (%)
11242
 
2.9%
210617
24.8%
3922
 
2.2%
47326
17.1%
57445
17.4%
ValueCountFrequency (%)
615281
35.7%
57445
17.4%
47326
17.1%
3922
 
2.2%
210617
24.8%

FIRMENDICHTE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7627
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean3.573084133
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:56.780420image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.091437469
Coefficient of variation (CV)0.3054608926
Kurtosis-0.5430420164
Mean3.573084133
Median Absolute Deviation (MAD)1
Skewness-0.4718726765
Sum125794
Variance1.191235748
MonotonicityNot monotonic
2021-05-29T15:56:56.881351image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
412985
30.3%
38247
19.3%
57503
17.5%
25127
 
12.0%
11344
 
3.1%
(Missing)7627
17.8%
ValueCountFrequency (%)
11344
 
3.1%
25127
 
12.0%
38247
19.3%
412985
30.3%
57503
17.5%
ValueCountFrequency (%)
57503
17.5%
412985
30.3%
38247
19.3%
25127
 
12.0%
11344
 
3.1%

GEBAEUDETYP
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7627
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean2.527665739
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:56.975052image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.517545609
Coefficient of variation (CV)0.9959962546
Kurtosis0.6676348754
Mean2.527665739
Median Absolute Deviation (MAD)0
Skewness1.508743647
Sum88989
Variance6.338035892
MonotonicityNot monotonic
2021-05-29T15:56:57.069522image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
122269
52.0%
36716
 
15.7%
85641
 
13.2%
2476
 
1.1%
466
 
0.2%
638
 
0.1%
(Missing)7627
 
17.8%
ValueCountFrequency (%)
122269
52.0%
2476
 
1.1%
36716
 
15.7%
466
 
0.2%
638
 
0.1%
ValueCountFrequency (%)
85641
13.2%
638
 
0.1%
466
 
0.2%
36716
15.7%
2476
 
1.1%

GEBAEUDETYP_RASTER
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7627
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean3.815258763
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:57.164326image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8808983516
Coefficient of variation (CV)0.2308882323
Kurtosis0.3812248941
Mean3.815258763
Median Absolute Deviation (MAD)1
Skewness-0.6299812693
Sum134320
Variance0.7759819058
MonotonicityNot monotonic
2021-05-29T15:56:57.273918image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
416703
39.0%
38491
19.8%
57503
17.5%
22011
 
4.7%
1498
 
1.2%
(Missing)7627
17.8%
ValueCountFrequency (%)
1498
 
1.2%
22011
 
4.7%
38491
19.8%
416703
39.0%
57503
17.5%
ValueCountFrequency (%)
57503
17.5%
416703
39.0%
38491
19.8%
22011
 
4.7%
1498
 
1.2%

GEBURTSJAHR
Real number (ℝ≥0)

ZEROS

Distinct106
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1148.488595
Minimum0
Maximum2017
Zeros17583
Zeros (%)41.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:57.421780image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1934
Q31950
95-th percentile1970
Maximum2017
Range2017
Interquartile range (IQR)1950

Descriptive statistics

Standard deviation958.471276
Coefficient of variation (CV)0.8345501035
Kurtosis-1.867392281
Mean1148.488595
Median Absolute Deviation (MAD)30
Skewness-0.3634399814
Sum49193212
Variance918667.187
MonotonicityNot monotonic
2021-05-29T15:56:57.588471image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017583
41.1%
1941915
 
2.1%
1939866
 
2.0%
1938844
 
2.0%
1940769
 
1.8%
1937722
 
1.7%
1936701
 
1.6%
1942682
 
1.6%
1943664
 
1.6%
1935647
 
1.5%
Other values (96)18440
43.1%
ValueCountFrequency (%)
017583
41.1%
19001
 
< 0.1%
19031
 
< 0.1%
19041
 
< 0.1%
19071
 
< 0.1%
ValueCountFrequency (%)
20179
< 0.1%
20162
 
< 0.1%
20156
< 0.1%
20141
 
< 0.1%
20135
< 0.1%

GEMEINDETYP
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing7784
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean25.40400582
Minimum11
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:57.716071image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q112
median22
Q340
95-th percentile50
Maximum50
Range39
Interquartile range (IQR)28

Descriptive statistics

Standard deviation12.58014626
Coefficient of variation (CV)0.4952032504
Kurtosis-0.9453877947
Mean25.40400582
Median Absolute Deviation (MAD)10
Skewness0.4689845605
Sum890385
Variance158.2600798
MonotonicityNot monotonic
2021-05-29T15:56:57.833256image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
116866
16.0%
226447
15.1%
406193
14.5%
305675
13.2%
124243
9.9%
502966
 
6.9%
212659
 
6.2%
(Missing)7784
18.2%
ValueCountFrequency (%)
116866
16.0%
124243
9.9%
212659
 
6.2%
226447
15.1%
305675
13.2%
ValueCountFrequency (%)
502966
6.9%
406193
14.5%
305675
13.2%
226447
15.1%
212659
6.2%

GFK_URLAUBERTYP
Real number (ℝ≥0)

MISSING

Distinct12
Distinct (%)< 0.1%
Missing578
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean6.493669388
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:57.948482image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.032499593
Coefficient of variation (CV)0.4669932225
Kurtosis-1.009915883
Mean6.493669388
Median Absolute Deviation (MAD)2
Skewness0.1699089557
Sum274390
Variance9.196053783
MonotonicityNot monotonic
2021-05-29T15:56:58.067698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
59644
22.5%
106116
14.3%
84321
10.1%
44310
10.1%
33805
 
8.9%
73210
 
7.5%
122459
 
5.7%
111983
 
4.6%
11849
 
4.3%
61736
 
4.1%
Other values (2)2822
 
6.6%
ValueCountFrequency (%)
11849
 
4.3%
21381
 
3.2%
33805
 
8.9%
44310
10.1%
59644
22.5%
ValueCountFrequency (%)
122459
5.7%
111983
 
4.6%
106116
14.3%
91441
 
3.4%
84321
10.1%

GREEN_AVANTGARDE
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2808348703
Minimum0
Maximum1
Zeros30804
Zeros (%)71.9%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:58.172420image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4494122398
Coefficient of variation (CV)1.600272214
Kurtosis-1.048669728
Mean0.2808348703
Median Absolute Deviation (MAD)0
Skewness0.9753867129
Sum12029
Variance0.2019713612
MonotonicityNot monotonic
2021-05-29T15:56:58.281199image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
030804
71.9%
112029
 
28.1%
ValueCountFrequency (%)
030804
71.9%
112029
 
28.1%
ValueCountFrequency (%)
112029
 
28.1%
030804
71.9%

HEALTH_TYP
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.430695959
Minimum-1
Maximum3
Zeros0
Zeros (%)0.0%
Negative7332
Negative (%)17.1%
Memory size334.8 KiB
2021-05-29T15:56:58.372329image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q11
median2
Q32
95-th percentile3
Maximum3
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.285501834
Coefficient of variation (CV)0.898515038
Kurtosis-0.3712037015
Mean1.430695959
Median Absolute Deviation (MAD)1
Skewness-0.7865399322
Sum61281
Variance1.652514964
MonotonicityNot monotonic
2021-05-29T15:56:58.469245image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
216826
39.3%
110532
24.6%
38143
19.0%
-17332
17.1%
ValueCountFrequency (%)
-17332
17.1%
110532
24.6%
216826
39.3%
38143
19.0%
ValueCountFrequency (%)
38143
19.0%
216826
39.3%
110532
24.6%
-17332
17.1%

HH_DELTA_FLAG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing9619
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean0.1329559824
Minimum0
Maximum1
Zeros28798
Zeros (%)67.2%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:58.563888image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3395322666
Coefficient of variation (CV)2.553719362
Kurtosis2.675213562
Mean0.1329559824
Median Absolute Deviation (MAD)0
Skewness2.162186966
Sum4416
Variance0.11528216
MonotonicityNot monotonic
2021-05-29T15:56:58.665212image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
028798
67.2%
14416
 
10.3%
(Missing)9619
 
22.5%
ValueCountFrequency (%)
028798
67.2%
14416
 
10.3%
ValueCountFrequency (%)
14416
 
10.3%
028798
67.2%

HH_EINKOMMEN_SCORE
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing642
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean3.569979379
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:58.753167image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.662756116
Coefficient of variation (CV)0.465760706
Kurtosis-1.336480156
Mean3.569979379
Median Absolute Deviation (MAD)2
Skewness0.03997769873
Sum150621
Variance2.764757902
MonotonicityNot monotonic
2021-05-29T15:56:58.851335image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
211126
26.0%
57817
18.2%
67083
16.5%
46931
16.2%
34914
11.5%
14320
 
10.1%
(Missing)642
 
1.5%
ValueCountFrequency (%)
14320
 
10.1%
211126
26.0%
34914
11.5%
46931
16.2%
57817
18.2%
ValueCountFrequency (%)
67083
16.5%
57817
18.2%
46931
16.2%
34914
11.5%
211126
26.0%

INNENSTADT
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing7641
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean4.76551489
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:58.941070image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.022486114
Coefficient of variation (CV)0.4244003347
Kurtosis-0.9339372748
Mean4.76551489
Median Absolute Deviation (MAD)2
Skewness-0.04074678704
Sum167708
Variance4.090450083
MonotonicityNot monotonic
2021-05-29T15:56:59.042476image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
56479
15.1%
45887
13.7%
65195
12.1%
84370
10.2%
24302
10.0%
33806
8.9%
73410
8.0%
11743
 
4.1%
(Missing)7641
17.8%
ValueCountFrequency (%)
11743
 
4.1%
24302
10.0%
33806
8.9%
45887
13.7%
56479
15.1%
ValueCountFrequency (%)
84370
10.2%
73410
8.0%
65195
12.1%
56479
15.1%
45887
13.7%

KBA05_ALTER1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean1.801609517
Minimum0
Maximum9
Zeros5183
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:59.138457image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.332318903
Coefficient of variation (CV)0.7395159109
Kurtosis7.268434611
Mean1.801609517
Median Absolute Deviation (MAD)1
Skewness1.655347741
Sum61788
Variance1.77507366
MonotonicityNot monotonic
2021-05-29T15:56:59.237904image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
211046
25.8%
19307
21.7%
36501
15.2%
05183
12.1%
41889
 
4.4%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
05183
12.1%
19307
21.7%
211046
25.8%
36501
15.2%
41889
 
4.4%
ValueCountFrequency (%)
9370
 
0.9%
41889
 
4.4%
36501
15.2%
211046
25.8%
19307
21.7%

KBA05_ALTER2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.892611383
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:59.352334image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.194333315
Coefficient of variation (CV)0.4128910374
Kurtosis5.741431821
Mean2.892611383
Median Absolute Deviation (MAD)1
Skewness1.381510434
Sum99205
Variance1.426432067
MonotonicityNot monotonic
2021-05-29T15:56:59.511647image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
313705
32.0%
28915
20.8%
46048
14.1%
13388
 
7.9%
51870
 
4.4%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
13388
 
7.9%
28915
20.8%
313705
32.0%
46048
14.1%
51870
 
4.4%
ValueCountFrequency (%)
9370
 
0.9%
51870
 
4.4%
46048
14.1%
313705
32.0%
28915
20.8%

KBA05_ALTER3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.136896431
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:59.627038image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.203826712
Coefficient of variation (CV)0.3837636144
Kurtosis4.535292967
Mean3.136896431
Median Absolute Deviation (MAD)1
Skewness1.110996968
Sum107583
Variance1.449198754
MonotonicityNot monotonic
2021-05-29T15:56:59.737265image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
313931
32.5%
47635
17.8%
26684
15.6%
53219
 
7.5%
12457
 
5.7%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
12457
 
5.7%
26684
15.6%
313931
32.5%
47635
17.8%
53219
 
7.5%
ValueCountFrequency (%)
9370
 
0.9%
53219
 
7.5%
47635
17.8%
313931
32.5%
26684
15.6%

KBA05_ALTER4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.21748892
Minimum0
Maximum9
Zeros819
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:56:59.856165image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.251874234
Coefficient of variation (CV)0.389084241
Kurtosis4.02064627
Mean3.21748892
Median Absolute Deviation (MAD)1
Skewness0.6465227466
Sum110347
Variance1.567189099
MonotonicityNot monotonic
2021-05-29T15:56:59.974806image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
314407
33.6%
48299
19.4%
25075
 
11.8%
53781
 
8.8%
11545
 
3.6%
0819
 
1.9%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
0819
 
1.9%
11545
 
3.6%
25075
 
11.8%
314407
33.6%
48299
19.4%
ValueCountFrequency (%)
9370
 
0.9%
53781
 
8.8%
48299
19.4%
314407
33.6%
25075
 
11.8%

KBA05_ANHANG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean1.195358059
Minimum0
Maximum9
Zeros9844
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:00.089851image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.254879393
Coefficient of variation (CV)1.049793728
Kurtosis12.87027552
Mean1.195358059
Median Absolute Deviation (MAD)1
Skewness2.614223465
Sum40996
Variance1.574722292
MonotonicityNot monotonic
2021-05-29T15:57:00.200027image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
115147
35.4%
09844
23.0%
34831
 
11.3%
24130
 
9.6%
9344
 
0.8%
(Missing)8537
19.9%
ValueCountFrequency (%)
09844
23.0%
115147
35.4%
24130
 
9.6%
34831
 
11.3%
9344
 
0.8%
ValueCountFrequency (%)
9344
 
0.8%
34831
 
11.3%
24130
 
9.6%
115147
35.4%
09844
23.0%

KBA05_ANTG1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean1.847241661
Minimum0
Maximum4
Zeros9113
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:00.308443image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.446733168
Coefficient of variation (CV)0.7831856537
Kurtosis-1.354573989
Mean1.847241661
Median Absolute Deviation (MAD)1
Skewness0.07943410645
Sum63353
Variance2.093036858
MonotonicityNot monotonic
2021-05-29T15:57:00.432212image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
09113
21.3%
36984
16.3%
26628
15.5%
45858
13.7%
15713
13.3%
(Missing)8537
19.9%
ValueCountFrequency (%)
09113
21.3%
15713
13.3%
26628
15.5%
36984
16.3%
45858
13.7%
ValueCountFrequency (%)
45858
13.7%
36984
16.3%
26628
15.5%
15713
13.3%
09113
21.3%

KBA05_ANTG2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean1.173926989
Minimum0
Maximum4
Zeros12881
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:00.562764image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.154888133
Coefficient of variation (CV)0.983781908
Kurtosis-0.7166197434
Mean1.173926989
Median Absolute Deviation (MAD)1
Skewness0.6173699831
Sum40261
Variance1.333766599
MonotonicityNot monotonic
2021-05-29T15:57:00.694020image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
012881
30.1%
19172
21.4%
26563
15.3%
34757
 
11.1%
4923
 
2.2%
(Missing)8537
19.9%
ValueCountFrequency (%)
012881
30.1%
19172
21.4%
26563
15.3%
34757
 
11.1%
4923
 
2.2%
ValueCountFrequency (%)
4923
 
2.2%
34757
 
11.1%
26563
15.3%
19172
21.4%
012881
30.1%

KBA05_ANTG3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean0.4756531374
Minimum0
Maximum3
Zeros25982
Zeros (%)60.7%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:00.810361image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9344092157
Coefficient of variation (CV)1.96447609
Kurtosis1.785865497
Mean0.4756531374
Median Absolute Deviation (MAD)0
Skewness1.79569056
Sum16313
Variance0.8731205823
MonotonicityNot monotonic
2021-05-29T15:57:00.923775image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
025982
60.7%
13011
 
7.0%
32696
 
6.3%
22607
 
6.1%
(Missing)8537
 
19.9%
ValueCountFrequency (%)
025982
60.7%
13011
 
7.0%
22607
 
6.1%
32696
 
6.3%
ValueCountFrequency (%)
32696
 
6.3%
22607
 
6.1%
13011
 
7.0%
025982
60.7%

KBA05_ANTG4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean0.2344879869
Minimum0
Maximum2
Zeros28923
Zeros (%)67.5%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:01.036982image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.578928421
Coefficient of variation (CV)2.468904393
Kurtosis3.996028981
Mean0.2344879869
Median Absolute Deviation (MAD)0
Skewness2.333652159
Sum8042
Variance0.3351581166
MonotonicityNot monotonic
2021-05-29T15:57:01.166489image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
028923
67.5%
12704
 
6.3%
22669
 
6.2%
(Missing)8537
 
19.9%
ValueCountFrequency (%)
028923
67.5%
12704
 
6.3%
22669
 
6.2%
ValueCountFrequency (%)
22669
 
6.2%
12704
 
6.3%
028923
67.5%

KBA05_AUTOQUOT
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.421827618
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:01.328432image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.224172391
Coefficient of variation (CV)0.3577539628
Kurtosis3.310569277
Mean3.421827618
Median Absolute Deviation (MAD)1
Skewness0.659811035
Sum117355
Variance1.498598042
MonotonicityNot monotonic
2021-05-29T15:57:01.449988image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
311537
26.9%
410898
25.4%
55021
11.7%
24239
 
9.9%
12230
 
5.2%
9371
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
12230
 
5.2%
24239
 
9.9%
311537
26.9%
410898
25.4%
55021
11.7%
ValueCountFrequency (%)
9371
 
0.9%
55021
11.7%
410898
25.4%
311537
26.9%
24239
 
9.9%

KBA05_BAUMAX
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean1.224982505
Minimum0
Maximum5
Zeros14287
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:01.569491image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.589806013
Coefficient of variation (CV)1.297819362
Kurtosis0.6737791009
Mean1.224982505
Median Absolute Deviation (MAD)1
Skewness1.397068119
Sum42012
Variance2.527483161
MonotonicityNot monotonic
2021-05-29T15:57:01.720655image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
014287
33.4%
112825
29.9%
53308
 
7.7%
32255
 
5.3%
41320
 
3.1%
2301
 
0.7%
(Missing)8537
19.9%
ValueCountFrequency (%)
014287
33.4%
112825
29.9%
2301
 
0.7%
32255
 
5.3%
41320
 
3.1%
ValueCountFrequency (%)
53308
 
7.7%
41320
 
3.1%
32255
 
5.3%
2301
 
0.7%
112825
29.9%

KBA05_CCM1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.988774201
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:01.820084image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.204533862
Coefficient of variation (CV)0.4030193587
Kurtosis5.095423615
Mean2.988774201
Median Absolute Deviation (MAD)1
Skewness1.272344205
Sum102503
Variance1.450901824
MonotonicityNot monotonic
2021-05-29T15:57:01.942458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
313737
32.1%
28232
19.2%
46539
15.3%
12937
 
6.9%
52481
 
5.8%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
12937
 
6.9%
28232
19.2%
313737
32.1%
46539
15.3%
52481
 
5.8%
ValueCountFrequency (%)
9370
 
0.9%
52481
 
5.8%
46539
15.3%
313737
32.1%
28232
19.2%

KBA05_CCM2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.083537439
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:02.059291image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.172107001
Coefficient of variation (CV)0.3801176488
Kurtosis5.437379051
Mean3.083537439
Median Absolute Deviation (MAD)1
Skewness1.25073368
Sum105753
Variance1.373834823
MonotonicityNot monotonic
2021-05-29T15:57:02.185494image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314282
33.3%
47691
18.0%
27156
16.7%
52426
 
5.7%
12371
 
5.5%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
12371
 
5.5%
27156
16.7%
314282
33.3%
47691
18.0%
52426
 
5.7%
ValueCountFrequency (%)
9370
 
0.9%
52426
 
5.7%
47691
18.0%
314282
33.3%
27156
16.7%

KBA05_CCM3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.110858409
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:02.332214image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.209098475
Coefficient of variation (CV)0.3886703657
Kurtosis4.505965676
Mean3.110858409
Median Absolute Deviation (MAD)1
Skewness1.117404785
Sum106690
Variance1.461919123
MonotonicityNot monotonic
2021-05-29T15:57:02.453871image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
313452
31.4%
47742
18.1%
27144
16.7%
53040
 
7.1%
12548
 
5.9%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
12548
 
5.9%
27144
16.7%
313452
31.4%
47742
18.1%
53040
 
7.1%
ValueCountFrequency (%)
9370
 
0.9%
53040
 
7.1%
47742
18.1%
313452
31.4%
27144
16.7%

KBA05_CCM4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean1.340447866
Minimum0
Maximum9
Zeros11018
Zeros (%)25.7%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:02.587953image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.431763581
Coefficient of variation (CV)1.068123288
Kurtosis7.010572229
Mean1.340447866
Median Absolute Deviation (MAD)1
Skewness1.957542887
Sum45972
Variance2.049946952
MonotonicityNot monotonic
2021-05-29T15:57:02.721559image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
011018
25.7%
111015
25.7%
26134
14.3%
33677
 
8.6%
42082
 
4.9%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
011018
25.7%
111015
25.7%
26134
14.3%
33677
 
8.6%
42082
 
4.9%
ValueCountFrequency (%)
9370
 
0.9%
42082
 
4.9%
33677
 
8.6%
26134
14.3%
111015
25.7%

KBA05_DIESEL
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.088815022
Minimum0
Maximum9
Zeros2427
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:02.827192image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.245765177
Coefficient of variation (CV)0.5963980363
Kurtosis8.398236635
Mean2.088815022
Median Absolute Deviation (MAD)1
Skewness1.725893014
Sum71638
Variance1.551930877
MonotonicityNot monotonic
2021-05-29T15:57:02.959939image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
213757
32.1%
37569
17.7%
17535
17.6%
42638
 
6.2%
02427
 
5.7%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
02427
 
5.7%
17535
17.6%
213757
32.1%
37569
17.7%
42638
 
6.2%
ValueCountFrequency (%)
9370
 
0.9%
42638
 
6.2%
37569
17.7%
213757
32.1%
17535
17.6%

KBA05_FRAU
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.064584791
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:03.123011image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.186230284
Coefficient of variation (CV)0.3870769988
Kurtosis5.222909212
Mean3.064584791
Median Absolute Deviation (MAD)1
Skewness1.248418138
Sum105103
Variance1.407142286
MonotonicityNot monotonic
2021-05-29T15:57:03.239878image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314688
34.3%
27132
16.7%
46825
15.9%
52716
 
6.3%
12565
 
6.0%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
12565
 
6.0%
27132
16.7%
314688
34.3%
46825
15.9%
52716
 
6.3%
ValueCountFrequency (%)
9370
 
0.9%
52716
 
6.3%
46825
15.9%
314688
34.3%
27132
16.7%

KBA05_GBZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.405090973
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:03.335732image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.302426001
Coefficient of variation (CV)0.382493746
Kurtosis-0.9288659201
Mean3.405090973
Median Absolute Deviation (MAD)1
Skewness-0.3917334283
Sum116781
Variance1.696313489
MonotonicityNot monotonic
2021-05-29T15:57:03.424075image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
48833
20.6%
58729
20.4%
38164
19.1%
24742
11.1%
13828
8.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
13828
8.9%
24742
11.1%
38164
19.1%
48833
20.6%
58729
20.4%
ValueCountFrequency (%)
58729
20.4%
48833
20.6%
38164
19.1%
24742
11.1%
13828
8.9%

KBA05_HERST1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.496821787
Minimum0
Maximum9
Zeros2594
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:03.515446image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q33
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.489092906
Coefficient of variation (CV)0.5963953512
Kurtosis2.474797639
Mean2.496821787
Median Absolute Deviation (MAD)1
Skewness0.8913860665
Sum85631
Variance2.217397684
MonotonicityNot monotonic
2021-05-29T15:57:03.606181image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
210487
24.5%
38253
19.3%
15532
12.9%
44264
10.0%
52796
 
6.5%
02594
 
6.1%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
02594
 
6.1%
15532
12.9%
210487
24.5%
38253
19.3%
44264
10.0%
ValueCountFrequency (%)
9370
 
0.9%
52796
 
6.5%
44264
10.0%
38253
19.3%
210487
24.5%

KBA05_HERST2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.101294612
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:03.686393image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.171614793
Coefficient of variation (CV)0.3777824874
Kurtosis5.344168201
Mean3.101294612
Median Absolute Deviation (MAD)1
Skewness1.291102635
Sum106362
Variance1.372681222
MonotonicityNot monotonic
2021-05-29T15:57:03.779753image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314131
33.0%
27614
17.8%
47410
17.3%
52750
 
6.4%
12021
 
4.7%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
12021
 
4.7%
27614
17.8%
314131
33.0%
47410
17.3%
52750
 
6.4%
ValueCountFrequency (%)
9370
 
0.9%
52750
 
6.4%
47410
17.3%
314131
33.0%
27614
17.8%

KBA05_HERST3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.941275951
Minimum0
Maximum9
Zeros519
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:03.878716image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.24410527
Coefficient of variation (CV)0.4229814852
Kurtosis4.731515197
Mean2.941275951
Median Absolute Deviation (MAD)1
Skewness1.037995662
Sum100874
Variance1.547797923
MonotonicityNot monotonic
2021-05-29T15:57:03.981452image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
314038
32.8%
27709
18.0%
46380
14.9%
12977
 
7.0%
52303
 
5.4%
0519
 
1.2%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
0519
 
1.2%
12977
 
7.0%
27709
18.0%
314038
32.8%
46380
14.9%
ValueCountFrequency (%)
9370
 
0.9%
52303
 
5.4%
46380
14.9%
314038
32.8%
27709
18.0%

KBA05_HERST4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.889404012
Minimum0
Maximum9
Zeros1045
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:04.083074image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.355613508
Coefficient of variation (CV)0.4691671718
Kurtosis3.11966744
Mean2.889404012
Median Absolute Deviation (MAD)1
Skewness0.7674051574
Sum99095
Variance1.837687984
MonotonicityNot monotonic
2021-05-29T15:57:04.184295image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
312017
28.1%
27858
18.3%
46388
14.9%
13661
 
8.5%
52957
 
6.9%
01045
 
2.4%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
01045
 
2.4%
13661
 
8.5%
27858
18.3%
312017
28.1%
46388
14.9%
ValueCountFrequency (%)
9370
 
0.9%
52957
 
6.9%
46388
14.9%
312017
28.1%
27858
18.3%

KBA05_HERST5
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.861616515
Minimum0
Maximum9
Zeros1654
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:04.280054image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.392743906
Coefficient of variation (CV)0.4866983045
Kurtosis2.802398122
Mean2.861616515
Median Absolute Deviation (MAD)1
Skewness0.6169398439
Sum98142
Variance1.939735588
MonotonicityNot monotonic
2021-05-29T15:57:04.379849image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
311343
26.5%
27824
18.3%
47090
16.6%
13325
 
7.8%
52690
 
6.3%
01654
 
3.9%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
01654
 
3.9%
13325
 
7.8%
27824
18.3%
311343
26.5%
47090
16.6%
ValueCountFrequency (%)
9370
 
0.9%
52690
 
6.3%
47090
16.6%
311343
26.5%
27824
18.3%

KBA05_HERSTTEMP
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7627
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean2.678378685
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:04.473027image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.342299937
Coefficient of variation (CV)0.5011613719
Kurtosis4.771824061
Mean2.678378685
Median Absolute Deviation (MAD)1
Skewness1.384898275
Sum94295
Variance1.80176912
MonotonicityNot monotonic
2021-05-29T15:57:04.593648image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312126
28.3%
28319
19.4%
17314
17.1%
45174
12.1%
51797
 
4.2%
9476
 
1.1%
(Missing)7627
17.8%
ValueCountFrequency (%)
17314
17.1%
28319
19.4%
312126
28.3%
45174
12.1%
51797
 
4.2%
ValueCountFrequency (%)
9476
 
1.1%
51797
 
4.2%
45174
12.1%
312126
28.3%
28319
19.4%

KBA05_KRSAQUOT
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.280382552
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:04.716820image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.236796031
Coefficient of variation (CV)0.3770279873
Kurtosis3.476435156
Mean3.280382552
Median Absolute Deviation (MAD)1
Skewness0.8558414349
Sum112504
Variance1.529664423
MonotonicityNot monotonic
2021-05-29T15:57:04.842607image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
313468
31.4%
48182
19.1%
25150
 
12.0%
54654
 
10.9%
12472
 
5.8%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
12472
 
5.8%
25150
 
12.0%
313468
31.4%
48182
19.1%
54654
 
10.9%
ValueCountFrequency (%)
9370
 
0.9%
54654
 
10.9%
48182
19.1%
313468
31.4%
25150
 
12.0%

KBA05_KRSHERST1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.0563331
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:04.950449image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.152406591
Coefficient of variation (CV)0.3770552992
Kurtosis6.023068344
Mean3.0563331
Median Absolute Deviation (MAD)1
Skewness1.351754089
Sum104820
Variance1.328040952
MonotonicityNot monotonic
2021-05-29T15:57:05.079355image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314264
33.3%
47739
18.1%
27699
18.0%
12194
 
5.1%
52030
 
4.7%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
12194
 
5.1%
27699
18.0%
314264
33.3%
47739
18.1%
52030
 
4.7%
ValueCountFrequency (%)
9370
 
0.9%
52030
 
4.7%
47739
18.1%
314264
33.3%
27699
18.0%

KBA05_KRSHERST2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.077035223
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:05.185792image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.200870474
Coefficient of variation (CV)0.3902686797
Kurtosis4.828861754
Mean3.077035223
Median Absolute Deviation (MAD)1
Skewness1.163356247
Sum105530
Variance1.442089895
MonotonicityNot monotonic
2021-05-29T15:57:05.296417image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
313954
32.6%
47437
17.4%
27079
16.5%
52744
 
6.4%
12712
 
6.3%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
12712
 
6.3%
27079
16.5%
313954
32.6%
47437
17.4%
52744
 
6.4%
ValueCountFrequency (%)
9370
 
0.9%
52744
 
6.4%
47437
17.4%
313954
32.6%
27079
16.5%

KBA05_KRSHERST3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.081875437
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:05.400244image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.222810056
Coefficient of variation (CV)0.3967746527
Kurtosis4.363059243
Mean3.081875437
Median Absolute Deviation (MAD)1
Skewness1.143460428
Sum105696
Variance1.495264434
MonotonicityNot monotonic
2021-05-29T15:57:05.515545image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
313820
32.3%
27379
17.2%
46699
15.6%
53331
 
7.8%
12697
 
6.3%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
12697
 
6.3%
27379
17.2%
313820
32.3%
46699
15.6%
53331
 
7.8%
ValueCountFrequency (%)
9370
 
0.9%
53331
 
7.8%
46699
15.6%
313820
32.3%
27379
17.2%

KBA05_KRSKLEIN
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.059336366
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:05.607446image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9511811627
Coefficient of variation (CV)0.4618872266
Kurtosis28.069402
Mean2.059336366
Median Absolute Deviation (MAD)0
Skewness4.094113621
Sum70627
Variance0.9047456042
MonotonicityNot monotonic
2021-05-29T15:57:05.699455image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
220907
48.8%
16787
 
15.8%
36232
 
14.5%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
16787
 
15.8%
220907
48.8%
36232
 
14.5%
9370
 
0.9%
ValueCountFrequency (%)
9370
 
0.9%
36232
 
14.5%
220907
48.8%
16787
 
15.8%

KBA05_KRSOBER
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.076306275
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:05.787195image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9267895175
Coefficient of variation (CV)0.4463645507
Kurtosis31.08144223
Mean2.076306275
Median Absolute Deviation (MAD)0
Skewness4.402280464
Sum71209
Variance0.8589388097
MonotonicityNot monotonic
2021-05-29T15:57:05.881598image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
222399
52.3%
35777
 
13.5%
15750
 
13.4%
9370
 
0.9%
(Missing)8537
 
19.9%
ValueCountFrequency (%)
15750
 
13.4%
222399
52.3%
35777
 
13.5%
9370
 
0.9%
ValueCountFrequency (%)
9370
 
0.9%
35777
 
13.5%
222399
52.3%
15750
 
13.4%

KBA05_KRSVAN
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.097853977
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:05.971334image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9035673425
Coefficient of variation (CV)0.4307103127
Kurtosis34.19864009
Mean2.097853977
Median Absolute Deviation (MAD)0
Skewness4.720689722
Sum71948
Variance0.8164339423
MonotonicityNot monotonic
2021-05-29T15:57:06.065710image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
223728
55.4%
35482
 
12.8%
14716
 
11.0%
9370
 
0.9%
(Missing)8537
 
19.9%
ValueCountFrequency (%)
14716
 
11.0%
223728
55.4%
35482
 
12.8%
9370
 
0.9%
ValueCountFrequency (%)
9370
 
0.9%
35482
 
12.8%
223728
55.4%
14716
 
11.0%

KBA05_KRSZUL
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.050559832
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:06.152176image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9883462849
Coefficient of variation (CV)0.4819885133
Kurtosis23.86079503
Mean2.050559832
Median Absolute Deviation (MAD)0
Skewness3.653747497
Sum70326
Variance0.9768283788
MonotonicityNot monotonic
2021-05-29T15:57:06.244717image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
218468
43.1%
18157
19.0%
37301
 
17.0%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
18157
19.0%
218468
43.1%
37301
 
17.0%
9370
 
0.9%
ValueCountFrequency (%)
9370
 
0.9%
37301
 
17.0%
218468
43.1%
18157
19.0%

KBA05_KW1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.953872172
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:06.332787image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.231257218
Coefficient of variation (CV)0.4168281992
Kurtosis4.652270474
Mean2.953872172
Median Absolute Deviation (MAD)1
Skewness1.173556787
Sum101306
Variance1.515994337
MonotonicityNot monotonic
2021-05-29T15:57:06.427082image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
313080
30.5%
27975
18.6%
46905
16.1%
13666
 
8.6%
52300
 
5.4%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
13666
 
8.6%
27975
18.6%
313080
30.5%
46905
16.1%
52300
 
5.4%
ValueCountFrequency (%)
9370
 
0.9%
52300
 
5.4%
46905
16.1%
313080
30.5%
27975
18.6%

KBA05_KW2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.12120947
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:06.514890image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.176098807
Coefficient of variation (CV)0.3768086757
Kurtosis5.198494507
Mean3.12120947
Median Absolute Deviation (MAD)1
Skewness1.23089287
Sum107045
Variance1.383208404
MonotonicityNot monotonic
2021-05-29T15:57:06.618506image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314608
34.1%
47390
17.3%
26827
15.9%
52894
 
6.8%
12207
 
5.2%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
12207
 
5.2%
26827
15.9%
314608
34.1%
47390
17.3%
52894
 
6.8%
ValueCountFrequency (%)
9370
 
0.9%
52894
 
6.8%
47390
17.3%
314608
34.1%
26827
15.9%

KBA05_KW3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean1.561552368
Minimum0
Maximum9
Zeros7876
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:06.722352image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.429165953
Coefficient of variation (CV)0.9152212777
Kurtosis6.083884754
Mean1.561552368
Median Absolute Deviation (MAD)1
Skewness1.741109883
Sum53555
Variance2.042515322
MonotonicityNot monotonic
2021-05-29T15:57:06.824826image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
111568
27.0%
07876
18.4%
27662
17.9%
33947
 
9.2%
42873
 
6.7%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
07876
18.4%
111568
27.0%
27662
17.9%
33947
 
9.2%
42873
 
6.7%
ValueCountFrequency (%)
9370
 
0.9%
42873
 
6.7%
33947
 
9.2%
27662
17.9%
111568
27.0%

KBA05_MAXAH
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.659902029
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:06.921028image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.354447053
Coefficient of variation (CV)0.370077407
Kurtosis0.9141816494
Mean3.659902029
Median Absolute Deviation (MAD)1
Skewness0.35900663
Sum125520
Variance1.834526819
MonotonicityNot monotonic
2021-05-29T15:57:07.029856image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
512027
28.1%
39224
21.5%
26285
14.7%
45141
12.0%
11249
 
2.9%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
11249
 
2.9%
26285
14.7%
39224
21.5%
45141
12.0%
512027
28.1%
ValueCountFrequency (%)
9370
 
0.9%
512027
28.1%
45141
12.0%
39224
21.5%
26285
14.7%

KBA05_MAXBJ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.484954514
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:07.129948image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.361737744
Coefficient of variation (CV)0.5479930264
Kurtosis3.507509824
Mean2.484954514
Median Absolute Deviation (MAD)1
Skewness1.163914073
Sum85224
Variance1.854329684
MonotonicityNot monotonic
2021-05-29T15:57:07.238387image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
110366
24.2%
49378
21.9%
28530
19.9%
35652
13.2%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
110366
24.2%
28530
19.9%
35652
13.2%
49378
21.9%
9370
 
0.9%
ValueCountFrequency (%)
9370
 
0.9%
49378
21.9%
35652
13.2%
28530
19.9%
110366
24.2%

KBA05_MAXHERST
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.772743177
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:07.340108image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.28463687
Coefficient of variation (CV)0.4633090006
Kurtosis4.296034549
Mean2.772743177
Median Absolute Deviation (MAD)1
Skewness1.417271357
Sum95094
Variance1.650291889
MonotonicityNot monotonic
2021-05-29T15:57:07.450721image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
213095
30.6%
39068
21.2%
45033
 
11.8%
13853
 
9.0%
52877
 
6.7%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
13853
 
9.0%
213095
30.6%
39068
21.2%
45033
 
11.8%
52877
 
6.7%
ValueCountFrequency (%)
9370
 
0.9%
52877
 
6.7%
45033
 
11.8%
39068
21.2%
213095
30.6%

KBA05_MAXSEG
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.227052718
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:07.552482image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.146493103
Coefficient of variation (CV)0.5148028576
Kurtosis11.03137673
Mean2.227052718
Median Absolute Deviation (MAD)1
Skewness2.308096112
Sum76379
Variance1.314446435
MonotonicityNot monotonic
2021-05-29T15:57:07.648080image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
214350
33.5%
18713
20.3%
37816
18.2%
43047
 
7.1%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
18713
20.3%
214350
33.5%
37816
18.2%
43047
 
7.1%
9370
 
0.9%
ValueCountFrequency (%)
9370
 
0.9%
43047
 
7.1%
37816
18.2%
214350
33.5%
18713
20.3%

KBA05_MAXVORB
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.029391183
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:07.729452image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.025187585
Coefficient of variation (CV)0.5051700203
Kurtosis20.54389176
Mean2.029391183
Median Absolute Deviation (MAD)1
Skewness3.305782762
Sum69600
Variance1.051009584
MonotonicityNot monotonic
2021-05-29T15:57:07.817643image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
215982
37.3%
19763
22.8%
38181
19.1%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
19763
22.8%
215982
37.3%
38181
19.1%
9370
 
0.9%
ValueCountFrequency (%)
9370
 
0.9%
38181
19.1%
215982
37.3%
19763
22.8%

KBA05_MOD1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean1.428504782
Minimum0
Maximum9
Zeros11659
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:07.906497image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.465377198
Coefficient of variation (CV)1.025811895
Kurtosis5.756624515
Mean1.428504782
Median Absolute Deviation (MAD)1
Skewness1.67000392
Sum48992
Variance2.147330332
MonotonicityNot monotonic
2021-05-29T15:57:07.997555image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
011659
27.2%
28579
20.0%
17345
17.1%
34213
 
9.8%
42130
 
5.0%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
011659
27.2%
17345
17.1%
28579
20.0%
34213
 
9.8%
42130
 
5.0%
ValueCountFrequency (%)
9370
 
0.9%
42130
 
5.0%
34213
9.8%
28579
20.0%
17345
17.1%

KBA05_MOD2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.064934686
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:08.081088image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.173657385
Coefficient of variation (CV)0.3829306346
Kurtosis5.490248678
Mean3.064934686
Median Absolute Deviation (MAD)1
Skewness1.261435445
Sum105115
Variance1.377471656
MonotonicityNot monotonic
2021-05-29T15:57:08.175794image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314405
33.6%
47470
17.4%
27203
16.8%
12489
 
5.8%
52359
 
5.5%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
12489
 
5.8%
27203
16.8%
314405
33.6%
47470
17.4%
52359
 
5.5%
ValueCountFrequency (%)
9370
 
0.9%
52359
 
5.5%
47470
17.4%
314405
33.6%
27203
16.8%

KBA05_MOD3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.084178913
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:08.264508image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.196485784
Coefficient of variation (CV)0.3879430533
Kurtosis4.833969257
Mean3.084178913
Median Absolute Deviation (MAD)1
Skewness1.181255308
Sum105775
Variance1.431578232
MonotonicityNot monotonic
2021-05-29T15:57:08.359191image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
313018
30.4%
48066
18.8%
27805
18.2%
52620
 
6.1%
12417
 
5.6%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
12417
 
5.6%
27805
18.2%
313018
30.4%
48066
18.8%
52620
 
6.1%
ValueCountFrequency (%)
9370
 
0.9%
52620
 
6.1%
48066
18.8%
313018
30.4%
27805
18.2%

KBA05_MOD4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.780586657
Minimum0
Maximum9
Zeros1719
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:08.449218image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.446463223
Coefficient of variation (CV)0.5202007352
Kurtosis2.295858975
Mean2.780586657
Median Absolute Deviation (MAD)1
Skewness0.6526535471
Sum95363
Variance2.092255856
MonotonicityNot monotonic
2021-05-29T15:57:08.536388image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
310828
25.3%
27648
17.9%
45986
14.0%
14604
10.7%
53141
 
7.3%
01719
 
4.0%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
01719
 
4.0%
14604
10.7%
27648
17.9%
310828
25.3%
45986
14.0%
ValueCountFrequency (%)
9370
 
0.9%
53141
 
7.3%
45986
14.0%
310828
25.3%
27648
17.9%

KBA05_MOD8
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean1.362403779
Minimum0
Maximum9
Zeros8550
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:08.621554image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.247580349
Coefficient of variation (CV)0.9157199709
Kurtosis12.86432112
Mean1.362403779
Median Absolute Deviation (MAD)1
Skewness2.434959405
Sum46725
Variance1.556456726
MonotonicityNot monotonic
2021-05-29T15:57:08.720061image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
111174
26.1%
210385
24.2%
08550
20.0%
33817
 
8.9%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
08550
20.0%
111174
26.1%
210385
24.2%
33817
 
8.9%
9370
 
0.9%
ValueCountFrequency (%)
9370
 
0.9%
33817
 
8.9%
210385
24.2%
111174
26.1%
08550
20.0%

KBA05_MODTEMP
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7627
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean2.920070443
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:08.815456image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.197107225
Coefficient of variation (CV)0.4099583377
Kurtosis-0.6576535512
Mean2.920070443
Median Absolute Deviation (MAD)1
Skewness-0.2206325812
Sum102804
Variance1.433065707
MonotonicityNot monotonic
2021-05-29T15:57:08.924595image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312705
29.7%
49932
23.2%
16784
15.8%
23684
 
8.6%
51797
 
4.2%
6304
 
0.7%
(Missing)7627
17.8%
ValueCountFrequency (%)
16784
15.8%
23684
 
8.6%
312705
29.7%
49932
23.2%
51797
 
4.2%
ValueCountFrequency (%)
6304
 
0.7%
51797
 
4.2%
49932
23.2%
312705
29.7%
23684
 
8.6%

KBA05_MOTOR
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.637304642
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:09.024707image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.132012832
Coefficient of variation (CV)0.429230971
Kurtosis8.754123989
Mean2.637304642
Median Absolute Deviation (MAD)1
Skewness1.718764226
Sum90449
Variance1.281453053
MonotonicityNot monotonic
2021-05-29T15:57:09.136227image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313394
31.3%
210292
24.0%
45371
12.5%
14869
 
11.4%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
14869
 
11.4%
210292
24.0%
313394
31.3%
45371
12.5%
9370
 
0.9%
ValueCountFrequency (%)
9370
 
0.9%
45371
12.5%
313394
31.3%
210292
24.0%
14869
 
11.4%

KBA05_MOTRAD
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean1.194016795
Minimum0
Maximum9
Zeros8115
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:09.240752image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.189728753
Coefficient of variation (CV)0.9964087253
Kurtosis15.95367284
Mean1.194016795
Median Absolute Deviation (MAD)0
Skewness2.964919255
Sum40950
Variance1.415454505
MonotonicityNot monotonic
2021-05-29T15:57:09.348517image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
117873
41.7%
08115
18.9%
34123
 
9.6%
23851
 
9.0%
9334
 
0.8%
(Missing)8537
19.9%
ValueCountFrequency (%)
08115
18.9%
117873
41.7%
23851
 
9.0%
34123
 
9.6%
9334
 
0.8%
ValueCountFrequency (%)
9334
 
0.8%
34123
 
9.6%
23851
 
9.0%
117873
41.7%
08115
18.9%

KBA05_SEG1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean1.170486354
Minimum0
Maximum9
Zeros10315
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:09.446865image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.218511137
Coefficient of variation (CV)1.041029768
Kurtosis16.05256257
Mean1.170486354
Median Absolute Deviation (MAD)1
Skewness2.905613443
Sum40143
Variance1.484769392
MonotonicityNot monotonic
2021-05-29T15:57:09.544134image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
112769
29.8%
010315
24.1%
28482
19.8%
32360
 
5.5%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
010315
24.1%
112769
29.8%
28482
19.8%
32360
 
5.5%
9370
 
0.9%
ValueCountFrequency (%)
9370
 
0.9%
32360
 
5.5%
28482
19.8%
112769
29.8%
010315
24.1%

KBA05_SEG10
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean1.990202939
Minimum0
Maximum9
Zeros3992
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:09.642457image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.313501703
Coefficient of variation (CV)0.6599838022
Kurtosis6.936360048
Mean1.990202939
Median Absolute Deviation (MAD)1
Skewness1.517250124
Sum68256
Variance1.725286724
MonotonicityNot monotonic
2021-05-29T15:57:09.736063image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
212930
30.2%
17318
17.1%
36996
16.3%
03992
 
9.3%
42690
 
6.3%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
03992
 
9.3%
17318
17.1%
212930
30.2%
36996
16.3%
42690
 
6.3%
ValueCountFrequency (%)
9370
 
0.9%
42690
 
6.3%
36996
16.3%
212930
30.2%
17318
17.1%

KBA05_SEG2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.0252216
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:09.820543image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.180553705
Coefficient of variation (CV)0.3902371004
Kurtosis5.502123008
Mean3.0252216
Median Absolute Deviation (MAD)1
Skewness1.258331075
Sum103753
Variance1.393707051
MonotonicityNot monotonic
2021-05-29T15:57:09.914454image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314331
33.5%
27333
17.1%
47294
17.0%
12813
 
6.6%
52155
 
5.0%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
12813
 
6.6%
27333
17.1%
314331
33.5%
47294
17.0%
52155
 
5.0%
ValueCountFrequency (%)
9370
 
0.9%
52155
 
5.0%
47294
17.0%
314331
33.5%
27333
17.1%

KBA05_SEG3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.063564264
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:10.004930image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.198670473
Coefficient of variation (CV)0.3912666325
Kurtosis4.865825091
Mean3.063564264
Median Absolute Deviation (MAD)1
Skewness1.220061314
Sum105068
Variance1.436810903
MonotonicityNot monotonic
2021-05-29T15:57:10.109621image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
313012
30.4%
28211
19.2%
47643
17.8%
52662
 
6.2%
12398
 
5.6%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
12398
 
5.6%
28211
19.2%
313012
30.4%
47643
17.8%
52662
 
6.2%
ValueCountFrequency (%)
9370
 
0.9%
52662
 
6.2%
47643
17.8%
313012
30.4%
28211
19.2%

KBA05_SEG4
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.085286914
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:10.231742image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.166819493
Coefficient of variation (CV)0.3781883259
Kurtosis5.616058521
Mean3.085286914
Median Absolute Deviation (MAD)1
Skewness1.292998032
Sum105813
Variance1.361467729
MonotonicityNot monotonic
2021-05-29T15:57:10.419330image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
315446
36.1%
46772
15.8%
26661
15.6%
52672
 
6.2%
12375
 
5.5%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
12375
 
5.5%
26661
15.6%
315446
36.1%
46772
15.8%
52672
 
6.2%
ValueCountFrequency (%)
9370
 
0.9%
52672
 
6.2%
46772
15.8%
315446
36.1%
26661
15.6%

KBA05_SEG5
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean1.572253324
Minimum0
Maximum9
Zeros7113
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:10.538798image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.377542117
Coefficient of variation (CV)0.8761578661
Kurtosis7.25033312
Mean1.572253324
Median Absolute Deviation (MAD)1
Skewness1.856682746
Sum53922
Variance1.897622285
MonotonicityNot monotonic
2021-05-29T15:57:10.652775image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
111691
27.3%
28677
20.3%
07113
16.6%
34233
 
9.9%
42212
 
5.2%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
07113
16.6%
111691
27.3%
28677
20.3%
34233
 
9.9%
42212
 
5.2%
ValueCountFrequency (%)
9370
 
0.9%
42212
 
5.2%
34233
 
9.9%
28677
20.3%
111691
27.3%

KBA05_SEG6
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean0.2278982972
Minimum0
Maximum9
Zeros29440
Zeros (%)68.7%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:10.758714image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9760919084
Coefficient of variation (CV)4.283015365
Kurtosis67.44151791
Mean0.2278982972
Median Absolute Deviation (MAD)0
Skewness7.885140276
Sum7816
Variance0.9527554136
MonotonicityNot monotonic
2021-05-29T15:57:10.864645image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
029440
68.7%
14486
 
10.5%
9370
 
0.9%
(Missing)8537
 
19.9%
ValueCountFrequency (%)
029440
68.7%
14486
 
10.5%
9370
 
0.9%
ValueCountFrequency (%)
9370
 
0.9%
14486
 
10.5%
029440
68.7%

KBA05_SEG7
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean0.9673722883
Minimum0
Maximum9
Zeros15140
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:10.950588image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.255847841
Coefficient of variation (CV)1.29820531
Kurtosis15.73124428
Mean0.9673722883
Median Absolute Deviation (MAD)1
Skewness2.99440082
Sum33177
Variance1.577153801
MonotonicityNot monotonic
2021-05-29T15:57:11.030849image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
015140
35.3%
19847
23.0%
26817
15.9%
32122
 
5.0%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
015140
35.3%
19847
23.0%
26817
15.9%
32122
 
5.0%
9370
 
0.9%
ValueCountFrequency (%)
9370
 
0.9%
32122
 
5.0%
26817
15.9%
19847
23.0%
015140
35.3%

KBA05_SEG8
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean0.8500116632
Minimum0
Maximum9
Zeros17271
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:11.128781image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.24235478
Coefficient of variation (CV)1.461573804
Kurtosis17.68313744
Mean0.8500116632
Median Absolute Deviation (MAD)0
Skewness3.285236255
Sum29152
Variance1.5434454
MonotonicityNot monotonic
2021-05-29T15:57:11.210679image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
017271
40.3%
19281
21.7%
25581
 
13.0%
31793
 
4.2%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
017271
40.3%
19281
21.7%
25581
 
13.0%
31793
 
4.2%
9370
 
0.9%
ValueCountFrequency (%)
9370
 
0.9%
31793
 
4.2%
25581
 
13.0%
19281
21.7%
017271
40.3%

KBA05_SEG9
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean1.179700257
Minimum0
Maximum9
Zeros10277
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:11.295272image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.219531808
Coefficient of variation (CV)1.033764129
Kurtosis15.89936337
Mean1.179700257
Median Absolute Deviation (MAD)1
Skewness2.877446059
Sum40459
Variance1.487257831
MonotonicityNot monotonic
2021-05-29T15:57:11.378829image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
112507
29.2%
010277
24.0%
28804
20.6%
32338
 
5.5%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
010277
24.0%
112507
29.2%
28804
20.6%
32338
 
5.5%
9370
 
0.9%
ValueCountFrequency (%)
9370
 
0.9%
32338
 
5.5%
28804
20.6%
112507
29.2%
010277
24.0%

KBA05_VORB0
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.13648822
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:11.459520image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.248834986
Coefficient of variation (CV)0.3981634548
Kurtosis3.652131245
Mean3.13648822
Median Absolute Deviation (MAD)1
Skewness0.9471446189
Sum107569
Variance1.559588822
MonotonicityNot monotonic
2021-05-29T15:57:11.553867image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
311877
27.7%
48651
20.2%
27146
16.7%
53365
 
7.9%
12887
 
6.7%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
12887
 
6.7%
27146
16.7%
311877
27.7%
48651
20.2%
53365
 
7.9%
ValueCountFrequency (%)
9370
 
0.9%
53365
 
7.9%
48651
20.2%
311877
27.7%
27146
16.7%

KBA05_VORB1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.063331001
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:11.646362image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.187980396
Coefficient of variation (CV)0.3878067358
Kurtosis5.192934593
Mean3.063331001
Median Absolute Deviation (MAD)1
Skewness1.232437893
Sum105060
Variance1.411297421
MonotonicityNot monotonic
2021-05-29T15:57:11.759218image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314692
34.3%
27009
16.4%
46897
16.1%
52680
 
6.3%
12648
 
6.2%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
12648
 
6.2%
27009
16.4%
314692
34.3%
46897
16.1%
52680
 
6.3%
ValueCountFrequency (%)
9370
 
0.9%
52680
 
6.3%
46897
16.1%
314692
34.3%
27009
16.4%

KBA05_VORB2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.530440868
Minimum0
Maximum9
Zeros2710
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:11.849469image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.449265639
Coefficient of variation (CV)0.5727324662
Kurtosis2.868850477
Mean2.530440868
Median Absolute Deviation (MAD)1
Skewness0.8008686485
Sum86784
Variance2.100370892
MonotonicityNot monotonic
2021-05-29T15:57:11.938294image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
311040
25.8%
28571
20.0%
15116
11.9%
44369
 
10.2%
02710
 
6.3%
52120
 
4.9%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
02710
 
6.3%
15116
11.9%
28571
20.0%
311040
25.8%
44369
 
10.2%
ValueCountFrequency (%)
9370
 
0.9%
52120
 
4.9%
44369
 
10.2%
311040
25.8%
28571
20.0%

KBA05_ZUL1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.926696991
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:12.020421image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.168744387
Coefficient of variation (CV)0.3993390469
Kurtosis6.248795067
Mean2.926696991
Median Absolute Deviation (MAD)1
Skewness1.380251863
Sum100374
Variance1.365963442
MonotonicityNot monotonic
2021-05-29T15:57:12.118130image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314682
34.3%
27922
18.5%
46500
15.2%
13239
 
7.6%
51583
 
3.7%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
13239
 
7.6%
27922
18.5%
314682
34.3%
46500
15.2%
51583
 
3.7%
ValueCountFrequency (%)
9370
 
0.9%
51583
 
3.7%
46500
15.2%
314682
34.3%
27922
18.5%

KBA05_ZUL2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.10902146
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:12.206720image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.176795731
Coefficient of variation (CV)0.3785100058
Kurtosis5.197516386
Mean3.10902146
Median Absolute Deviation (MAD)1
Skewness1.241066794
Sum106627
Variance1.384848192
MonotonicityNot monotonic
2021-05-29T15:57:12.304711image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314000
32.7%
47697
18.0%
27344
17.1%
52734
 
6.4%
12151
 
5.0%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
12151
 
5.0%
27344
17.1%
314000
32.7%
47697
18.0%
52734
 
6.4%
ValueCountFrequency (%)
9370
 
0.9%
52734
 
6.4%
47697
18.0%
314000
32.7%
27344
17.1%

KBA05_ZUL3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.866427572
Minimum0
Maximum9
Zeros1971
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:12.412684image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.413915644
Coefficient of variation (CV)0.4932675286
Kurtosis2.583087068
Mean2.866427572
Median Absolute Deviation (MAD)1
Skewness0.5132602577
Sum98307
Variance1.999157449
MonotonicityNot monotonic
2021-05-29T15:57:12.513299image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
310998
25.7%
47778
18.2%
27460
17.4%
13161
 
7.4%
52558
 
6.0%
01971
 
4.6%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
01971
 
4.6%
13161
 
7.4%
27460
17.4%
310998
25.7%
47778
18.2%
ValueCountFrequency (%)
9370
 
0.9%
52558
 
6.0%
47778
18.2%
310998
25.7%
27460
17.4%

KBA05_ZUL4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean2.315226265
Minimum0
Maximum9
Zeros3327
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:12.612759image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.557669079
Coefficient of variation (CV)0.6727934553
Kurtosis2.058389811
Mean2.315226265
Median Absolute Deviation (MAD)1
Skewness0.9340008228
Sum79403
Variance2.426332959
MonotonicityNot monotonic
2021-05-29T15:57:12.712028image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
28967
20.9%
18197
19.1%
36117
14.3%
44999
11.7%
03327
 
7.8%
52319
 
5.4%
9370
 
0.9%
(Missing)8537
19.9%
ValueCountFrequency (%)
03327
 
7.8%
18197
19.1%
28967
20.9%
36117
14.3%
44999
11.7%
ValueCountFrequency (%)
9370
 
0.9%
52319
 
5.4%
44999
11.7%
36117
14.3%
28967
20.9%

KBA13_ALTERHALTER_30
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.901691815
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:12.808556image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.061184713
Coefficient of variation (CV)0.3657124123
Kurtosis-0.395259949
Mean2.901691815
Median Absolute Deviation (MAD)1
Skewness0.03200968508
Sum101536
Variance1.126112996
MonotonicityNot monotonic
2021-05-29T15:57:12.917676image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314648
34.2%
27513
17.5%
46365
14.9%
13806
 
8.9%
52660
 
6.2%
(Missing)7841
18.3%
ValueCountFrequency (%)
13806
 
8.9%
27513
17.5%
314648
34.2%
46365
14.9%
52660
 
6.2%
ValueCountFrequency (%)
52660
 
6.2%
46365
14.9%
314648
34.2%
27513
17.5%
13806
 
8.9%

KBA13_ALTERHALTER_45
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.998571102
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:13.021894image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.096341269
Coefficient of variation (CV)0.3656212348
Kurtosis-0.5164091918
Mean2.998571102
Median Absolute Deviation (MAD)1
Skewness0.00295592781
Sum104926
Variance1.201964178
MonotonicityNot monotonic
2021-05-29T15:57:13.136924image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313805
32.2%
27141
16.7%
47089
16.6%
53479
 
8.1%
13478
 
8.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
13478
 
8.1%
27141
16.7%
313805
32.2%
47089
16.6%
53479
 
8.1%
ValueCountFrequency (%)
53479
 
8.1%
47089
16.6%
313805
32.2%
27141
16.7%
13478
 
8.1%

KBA13_ALTERHALTER_60
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.90849337
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:13.240133image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.068152802
Coefficient of variation (CV)0.3672529611
Kurtosis-0.4474454322
Mean2.90849337
Median Absolute Deviation (MAD)1
Skewness0.07491467364
Sum101774
Variance1.140950409
MonotonicityNot monotonic
2021-05-29T15:57:13.367475image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313997
32.7%
28130
19.0%
46458
15.1%
13586
 
8.4%
52821
 
6.6%
(Missing)7841
18.3%
ValueCountFrequency (%)
13586
 
8.4%
28130
19.0%
313997
32.7%
46458
15.1%
52821
 
6.6%
ValueCountFrequency (%)
52821
 
6.6%
46458
15.1%
313997
32.7%
28130
19.0%
13586
 
8.4%

KBA13_ALTERHALTER_61
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.14546182
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:13.473181image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.083330338
Coefficient of variation (CV)0.3444105828
Kurtosis-0.4998328371
Mean3.14546182
Median Absolute Deviation (MAD)1
Skewness-0.04334331945
Sum110066
Variance1.173604622
MonotonicityNot monotonic
2021-05-29T15:57:13.575103image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313883
32.4%
47815
18.2%
26395
14.9%
54367
 
10.2%
12532
 
5.9%
(Missing)7841
18.3%
ValueCountFrequency (%)
12532
 
5.9%
26395
14.9%
313883
32.4%
47815
18.2%
54367
 
10.2%
ValueCountFrequency (%)
54367
 
10.2%
47815
18.2%
313883
32.4%
26395
14.9%
12532
 
5.9%

KBA13_ANTG1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.279120942
Minimum0
Maximum4
Zeros364
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:13.669320image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.931276102
Coefficient of variation (CV)0.4086119718
Kurtosis-0.6587938538
Mean2.279120942
Median Absolute Deviation (MAD)1
Skewness0.05579557577
Sum79751
Variance0.8672751782
MonotonicityNot monotonic
2021-05-29T15:57:13.764839image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
213094
30.6%
310973
25.6%
17200
16.8%
43361
 
7.8%
0364
 
0.8%
(Missing)7841
18.3%
ValueCountFrequency (%)
0364
 
0.8%
17200
16.8%
213094
30.6%
310973
25.6%
43361
 
7.8%
ValueCountFrequency (%)
43361
 
7.8%
310973
25.6%
213094
30.6%
17200
16.8%
0364
 
0.8%

KBA13_ANTG2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.686356882
Minimum0
Maximum4
Zeros501
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:13.854005image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9337269927
Coefficient of variation (CV)0.347581142
Kurtosis-0.2123078921
Mean2.686356882
Median Absolute Deviation (MAD)1
Skewness-0.4187937579
Sum94001
Variance0.8718460969
MonotonicityNot monotonic
2021-05-29T15:57:13.953496image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314408
33.6%
210099
23.6%
46865
16.0%
13119
 
7.3%
0501
 
1.2%
(Missing)7841
18.3%
ValueCountFrequency (%)
0501
 
1.2%
13119
 
7.3%
210099
23.6%
314408
33.6%
46865
16.0%
ValueCountFrequency (%)
46865
16.0%
314408
33.6%
210099
23.6%
13119
 
7.3%
0501
 
1.2%

KBA13_ANTG3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean1.473851166
Minimum0
Maximum3
Zeros7226
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:14.040779image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.022259108
Coefficient of variation (CV)0.6935972449
Kurtosis-1.122215443
Mean1.473851166
Median Absolute Deviation (MAD)1
Skewness0.02802076074
Sum51573
Variance1.045013684
MonotonicityNot monotonic
2021-05-29T15:57:14.129209image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
110654
24.9%
210417
24.3%
07226
16.9%
36695
15.6%
(Missing)7841
18.3%
ValueCountFrequency (%)
07226
16.9%
110654
24.9%
210417
24.3%
36695
15.6%
ValueCountFrequency (%)
36695
15.6%
210417
24.3%
110654
24.9%
07226
16.9%

KBA13_ANTG4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean0.5928212163
Minimum0
Maximum2
Zeros19008
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:14.214123image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7165619869
Coefficient of variation (CV)1.208732021
Kurtosis-0.6887620389
Mean0.5928212163
Median Absolute Deviation (MAD)0
Skewness0.7815343474
Sum20744
Variance0.5134610811
MonotonicityNot monotonic
2021-05-29T15:57:14.312384image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
019008
44.4%
111224
26.2%
24760
 
11.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
019008
44.4%
111224
26.2%
24760
 
11.1%
ValueCountFrequency (%)
24760
 
11.1%
111224
26.2%
019008
44.4%

KBA13_ANZAHL_PKW
Real number (ℝ≥0)

MISSING

Distinct1231
Distinct (%)3.5%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean618.5086591
Minimum0
Maximum2300
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:14.435071image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile208
Q1388
median549
Q3771
95-th percentile1300
Maximum2300
Range2300
Interquartile range (IQR)383

Descriptive statistics

Standard deviation332.8799188
Coefficient of variation (CV)0.5381976694
Kurtosis2.115788847
Mean618.5086591
Median Absolute Deviation (MAD)184
Skewness1.283531289
Sum21642855
Variance110809.0404
MonotonicityNot monotonic
2021-05-29T15:57:14.581008image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1400507
 
1.2%
1500338
 
0.8%
1600294
 
0.7%
1300276
 
0.6%
1700162
 
0.4%
1800119
 
0.3%
52681
 
0.2%
58479
 
0.2%
39676
 
0.2%
48574
 
0.2%
Other values (1221)32986
77.0%
(Missing)7841
 
18.3%
ValueCountFrequency (%)
01
< 0.1%
42
< 0.1%
142
< 0.1%
161
< 0.1%
211
< 0.1%
ValueCountFrequency (%)
230013
 
< 0.1%
220012
 
< 0.1%
210025
 
0.1%
200063
0.1%
190052
0.1%

KBA13_AUDI
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.089934842
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:14.692303image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.011465452
Coefficient of variation (CV)0.3273420002
Kurtosis-0.2796649336
Mean3.089934842
Median Absolute Deviation (MAD)1
Skewness-0.01284055364
Sum108123
Variance1.02306236
MonotonicityNot monotonic
2021-05-29T15:57:14.802071image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315189
35.5%
47750
18.1%
26627
15.5%
53219
 
7.5%
12207
 
5.2%
(Missing)7841
18.3%
ValueCountFrequency (%)
12207
 
5.2%
26627
15.5%
315189
35.5%
47750
18.1%
53219
 
7.5%
ValueCountFrequency (%)
53219
 
7.5%
47750
18.1%
315189
35.5%
26627
15.5%
12207
 
5.2%

KBA13_AUTOQUOTE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.925325789
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:14.907312image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.043697822
Coefficient of variation (CV)0.3567800298
Kurtosis-0.389965339
Mean2.925325789
Median Absolute Deviation (MAD)1
Skewness0.04827624758
Sum102363
Variance1.089305144
MonotonicityNot monotonic
2021-05-29T15:57:15.016892image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314369
33.5%
28000
18.7%
46727
15.7%
13283
 
7.7%
52613
 
6.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
13283
 
7.7%
28000
18.7%
314369
33.5%
46727
15.7%
52613
 
6.1%
ValueCountFrequency (%)
52613
 
6.1%
46727
15.7%
314369
33.5%
28000
18.7%
13283
 
7.7%

KBA13_BAUMAX
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean1.854223823
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:15.121779image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.416327742
Coefficient of variation (CV)0.7638386073
Kurtosis0.267548827
Mean1.854223823
Median Absolute Deviation (MAD)0
Skewness1.368055249
Sum64883
Variance2.005984274
MonotonicityNot monotonic
2021-05-29T15:57:15.226176image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
123727
55.4%
54091
 
9.6%
22839
 
6.6%
32317
 
5.4%
42018
 
4.7%
(Missing)7841
 
18.3%
ValueCountFrequency (%)
123727
55.4%
22839
 
6.6%
32317
 
5.4%
42018
 
4.7%
54091
 
9.6%
ValueCountFrequency (%)
54091
 
9.6%
42018
 
4.7%
32317
 
5.4%
22839
 
6.6%
123727
55.4%

KBA13_BJ_1999
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.9027492
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:15.331011image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9594692098
Coefficient of variation (CV)0.3305381015
Kurtosis-0.1177396286
Mean2.9027492
Median Absolute Deviation (MAD)1
Skewness0.03951272094
Sum101573
Variance0.9205811645
MonotonicityNot monotonic
2021-05-29T15:57:15.437235image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
316018
37.4%
28126
19.0%
46325
 
14.8%
12662
 
6.2%
51861
 
4.3%
(Missing)7841
18.3%
ValueCountFrequency (%)
12662
 
6.2%
28126
19.0%
316018
37.4%
46325
 
14.8%
51861
 
4.3%
ValueCountFrequency (%)
51861
 
4.3%
46325
 
14.8%
316018
37.4%
28126
19.0%
12662
 
6.2%

KBA13_BJ_2000
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.852909236
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:15.527190image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9719557033
Coefficient of variation (CV)0.3406893184
Kurtosis-0.1675320973
Mean2.852909236
Median Absolute Deviation (MAD)1
Skewness0.02387464684
Sum99829
Variance0.9446978892
MonotonicityNot monotonic
2021-05-29T15:57:15.626323image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315801
36.9%
28268
19.3%
46049
 
14.1%
13169
 
7.4%
51705
 
4.0%
(Missing)7841
18.3%
ValueCountFrequency (%)
13169
 
7.4%
28268
19.3%
315801
36.9%
46049
 
14.1%
51705
 
4.0%
ValueCountFrequency (%)
51705
 
4.0%
46049
 
14.1%
315801
36.9%
28268
19.3%
13169
 
7.4%

KBA13_BJ_2004
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.028749428
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:15.719060image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9470729433
Coefficient of variation (CV)0.3126943861
Kurtosis-0.07039941524
Mean3.028749428
Median Absolute Deviation (MAD)1
Skewness0.0101694605
Sum105982
Variance0.89694716
MonotonicityNot monotonic
2021-05-29T15:57:15.817687image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
316388
38.3%
47336
17.1%
26998
16.3%
52302
 
5.4%
11968
 
4.6%
(Missing)7841
18.3%
ValueCountFrequency (%)
11968
 
4.6%
26998
16.3%
316388
38.3%
47336
17.1%
52302
 
5.4%
ValueCountFrequency (%)
52302
 
5.4%
47336
17.1%
316388
38.3%
26998
16.3%
11968
 
4.6%

KBA13_BJ_2006
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.074988569
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:15.908755image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9458976462
Coefficient of variation (CV)0.3076101342
Kurtosis-0.09709509091
Mean3.074988569
Median Absolute Deviation (MAD)1
Skewness0.0008169524668
Sum107600
Variance0.894722357
MonotonicityNot monotonic
2021-05-29T15:57:16.005782image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
316205
37.8%
47843
18.3%
26705
15.7%
52491
 
5.8%
11748
 
4.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
11748
 
4.1%
26705
15.7%
316205
37.8%
47843
18.3%
52491
 
5.8%
ValueCountFrequency (%)
52491
 
5.8%
47843
18.3%
316205
37.8%
26705
15.7%
11748
 
4.1%

KBA13_BJ_2008
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.533893461
Minimum0
Maximum5
Zeros5495
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:16.096315image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.474578601
Coefficient of variation (CV)0.5819418313
Kurtosis-0.6281747926
Mean2.533893461
Median Absolute Deviation (MAD)1
Skewness-0.2709012458
Sum88666
Variance2.174382051
MonotonicityNot monotonic
2021-05-29T15:57:16.191215image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312897
30.1%
26585
15.4%
05495
12.8%
44138
 
9.7%
53594
 
8.4%
12283
 
5.3%
(Missing)7841
18.3%
ValueCountFrequency (%)
05495
12.8%
12283
 
5.3%
26585
15.4%
312897
30.1%
44138
 
9.7%
ValueCountFrequency (%)
53594
 
8.4%
44138
 
9.7%
312897
30.1%
26585
15.4%
12283
 
5.3%

KBA13_BJ_2009
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.562985825
Minimum0
Maximum5
Zeros4165
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:16.273261image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.455199915
Coefficient of variation (CV)0.5677752488
Kurtosis-0.7093423818
Mean2.562985825
Median Absolute Deviation (MAD)1
Skewness-0.1951117671
Sum89684
Variance2.117606791
MonotonicityNot monotonic
2021-05-29T15:57:16.366949image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312957
30.3%
25121
 
12.0%
14725
 
11.0%
44274
 
10.0%
04165
 
9.7%
53750
 
8.8%
(Missing)7841
18.3%
ValueCountFrequency (%)
04165
 
9.7%
14725
 
11.0%
25121
 
12.0%
312957
30.3%
44274
 
10.0%
ValueCountFrequency (%)
53750
 
8.8%
44274
 
10.0%
312957
30.3%
25121
 
12.0%
14725
 
11.0%

KBA13_BMW
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.193444216
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:16.455324image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.01760076
Coefficient of variation (CV)0.3186530563
Kurtosis-0.3519512858
Mean3.193444216
Median Absolute Deviation (MAD)1
Skewness-0.01491292242
Sum111745
Variance1.035511306
MonotonicityNot monotonic
2021-05-29T15:57:16.565367image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314840
34.6%
48235
19.2%
26120
14.3%
54062
 
9.5%
11735
 
4.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
11735
 
4.1%
26120
14.3%
314840
34.6%
48235
19.2%
54062
 
9.5%
ValueCountFrequency (%)
54062
 
9.5%
48235
19.2%
314840
34.6%
26120
14.3%
11735
 
4.1%

KBA13_CCM_0_1400
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.268661408
Minimum0
Maximum5
Zeros6437
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:16.671834image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.435806075
Coefficient of variation (CV)0.6328868951
Kurtosis-0.6891547329
Mean2.268661408
Median Absolute Deviation (MAD)1
Skewness-0.108698181
Sum79385
Variance2.061539084
MonotonicityNot monotonic
2021-05-29T15:57:16.780012image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
311573
27.0%
28453
19.7%
06437
15.0%
43217
 
7.5%
12917
 
6.8%
52395
 
5.6%
(Missing)7841
18.3%
ValueCountFrequency (%)
06437
15.0%
12917
 
6.8%
28453
19.7%
311573
27.0%
43217
 
7.5%
ValueCountFrequency (%)
52395
 
5.6%
43217
 
7.5%
311573
27.0%
28453
19.7%
12917
 
6.8%

KBA13_CCM_1000
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.37345679
Minimum0
Maximum5
Zeros4466
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:16.876800image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.411074432
Coefficient of variation (CV)0.5945229076
Kurtosis-0.718680166
Mean2.37345679
Median Absolute Deviation (MAD)1
Skewness-0.08278885049
Sum83052
Variance1.991131053
MonotonicityNot monotonic
2021-05-29T15:57:16.992098image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312659
29.6%
25873
13.7%
15774
13.5%
04466
 
10.4%
43545
 
8.3%
52675
 
6.2%
(Missing)7841
18.3%
ValueCountFrequency (%)
04466
 
10.4%
15774
13.5%
25873
13.7%
312659
29.6%
43545
 
8.3%
ValueCountFrequency (%)
52675
 
6.2%
43545
 
8.3%
312659
29.6%
25873
13.7%
15774
13.5%

KBA13_CCM_1200
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.267575446
Minimum0
Maximum5
Zeros6755
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:17.076399image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.458226211
Coefficient of variation (CV)0.643077263
Kurtosis-0.7772386275
Mean2.267575446
Median Absolute Deviation (MAD)1
Skewness-0.1353139324
Sum79347
Variance2.126423683
MonotonicityNot monotonic
2021-05-29T15:57:17.173637image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312028
28.1%
27396
17.3%
06755
15.8%
43422
 
8.0%
13043
 
7.1%
52348
 
5.5%
(Missing)7841
18.3%
ValueCountFrequency (%)
06755
15.8%
13043
 
7.1%
27396
17.3%
312028
28.1%
43422
 
8.0%
ValueCountFrequency (%)
52348
 
5.5%
43422
 
8.0%
312028
28.1%
27396
17.3%
13043
 
7.1%

KBA13_CCM_1400
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.976851852
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:17.258897image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9505394217
Coefficient of variation (CV)0.3193102878
Kurtosis-0.1039848903
Mean2.976851852
Median Absolute Deviation (MAD)1
Skewness0.05390838593
Sum104166
Variance0.9035251922
MonotonicityNot monotonic
2021-05-29T15:57:17.362206image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
316117
37.6%
27755
18.1%
46867
16.0%
52146
 
5.0%
12107
 
4.9%
(Missing)7841
18.3%
ValueCountFrequency (%)
12107
 
4.9%
27755
18.1%
316117
37.6%
46867
16.0%
52146
 
5.0%
ValueCountFrequency (%)
52146
 
5.0%
46867
16.0%
316117
37.6%
27755
18.1%
12107
 
4.9%

KBA13_CCM_1401_2500
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.968649977
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:17.454070image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9490554008
Coefficient of variation (CV)0.3196925903
Kurtosis-0.1219334791
Mean2.968649977
Median Absolute Deviation (MAD)1
Skewness-0.1118642957
Sum103879
Variance0.9007061537
MonotonicityNot monotonic
2021-05-29T15:57:17.551009image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
316128
37.7%
47638
17.8%
26997
16.3%
12549
 
6.0%
51680
 
3.9%
(Missing)7841
18.3%
ValueCountFrequency (%)
12549
 
6.0%
26997
16.3%
316128
37.7%
47638
17.8%
51680
 
3.9%
ValueCountFrequency (%)
51680
 
3.9%
47638
17.8%
316128
37.7%
26997
16.3%
12549
 
6.0%

KBA13_CCM_1500
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.632601738
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:17.644460image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.420994631
Coefficient of variation (CV)0.5397681734
Kurtosis-1.443821038
Mean2.632601738
Median Absolute Deviation (MAD)1
Skewness0.09877652081
Sum92120
Variance2.019225742
MonotonicityNot monotonic
2021-05-29T15:57:17.741264image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
112650
29.5%
49080
21.2%
37095
16.6%
53177
 
7.4%
22990
 
7.0%
(Missing)7841
18.3%
ValueCountFrequency (%)
112650
29.5%
22990
 
7.0%
37095
16.6%
49080
21.2%
53177
 
7.4%
ValueCountFrequency (%)
53177
 
7.4%
49080
21.2%
37095
16.6%
22990
 
7.0%
112650
29.5%

KBA13_CCM_1600
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.033550526
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:17.834348image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9482420449
Coefficient of variation (CV)0.3125848859
Kurtosis-0.1126934868
Mean3.033550526
Median Absolute Deviation (MAD)1
Skewness0.06650194457
Sum106150
Variance0.8991629757
MonotonicityNot monotonic
2021-05-29T15:57:17.934039image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
316153
37.7%
27385
17.2%
47233
16.9%
52442
 
5.7%
11779
 
4.2%
(Missing)7841
18.3%
ValueCountFrequency (%)
11779
 
4.2%
27385
17.2%
316153
37.7%
47233
16.9%
52442
 
5.7%
ValueCountFrequency (%)
52442
 
5.7%
47233
16.9%
316153
37.7%
27385
17.2%
11779
 
4.2%

KBA13_CCM_1800
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.405006859
Minimum0
Maximum5
Zeros5935
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:18.023244image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.444269623
Coefficient of variation (CV)0.6005261971
Kurtosis-0.6348595458
Mean2.405006859
Median Absolute Deviation (MAD)1
Skewness-0.217087042
Sum84156
Variance2.085914744
MonotonicityNot monotonic
2021-05-29T15:57:18.119528image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312408
29.0%
27734
18.1%
05935
13.9%
43811
 
8.9%
52779
 
6.5%
12325
 
5.4%
(Missing)7841
18.3%
ValueCountFrequency (%)
05935
13.9%
12325
 
5.4%
27734
18.1%
312408
29.0%
43811
 
8.9%
ValueCountFrequency (%)
52779
 
6.5%
43811
 
8.9%
312408
29.0%
27734
18.1%
12325
 
5.4%

KBA13_CCM_2000
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.117912666
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:18.204849image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9488578897
Coefficient of variation (CV)0.304324717
Kurtosis-0.1613280676
Mean3.117912666
Median Absolute Deviation (MAD)1
Skewness0.04190786044
Sum109102
Variance0.9003312949
MonotonicityNot monotonic
2021-05-29T15:57:18.302230image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315938
37.2%
48046
18.8%
26696
15.6%
52850
 
6.7%
11462
 
3.4%
(Missing)7841
18.3%
ValueCountFrequency (%)
11462
 
3.4%
26696
15.6%
315938
37.2%
48046
18.8%
52850
 
6.7%
ValueCountFrequency (%)
52850
 
6.7%
48046
18.8%
315938
37.2%
26696
15.6%
11462
 
3.4%

KBA13_CCM_2500
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.506715821
Minimum0
Maximum5
Zeros4158
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:18.389364image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.433446543
Coefficient of variation (CV)0.5718424606
Kurtosis-0.6836331488
Mean2.506715821
Median Absolute Deviation (MAD)1
Skewness-0.1399408078
Sum87715
Variance2.054768992
MonotonicityNot monotonic
2021-05-29T15:57:18.483850image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312317
28.8%
26245
14.6%
14743
 
11.1%
04158
 
9.7%
44114
 
9.6%
53415
 
8.0%
(Missing)7841
18.3%
ValueCountFrequency (%)
04158
 
9.7%
14743
 
11.1%
26245
14.6%
312317
28.8%
44114
 
9.6%
ValueCountFrequency (%)
53415
 
8.0%
44114
 
9.6%
312317
28.8%
26245
14.6%
14743
 
11.1%

KBA13_CCM_2501
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.522319387
Minimum0
Maximum5
Zeros3962
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:18.574196image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.440686828
Coefficient of variation (CV)0.571175417
Kurtosis-0.7196319258
Mean2.522319387
Median Absolute Deviation (MAD)1
Skewness-0.1414759038
Sum88261
Variance2.075578536
MonotonicityNot monotonic
2021-05-29T15:57:18.681598image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312924
30.2%
15382
12.6%
25178
12.1%
43979
 
9.3%
03962
 
9.2%
53567
 
8.3%
(Missing)7841
18.3%
ValueCountFrequency (%)
03962
 
9.2%
15382
12.6%
25178
12.1%
312924
30.2%
43979
 
9.3%
ValueCountFrequency (%)
53567
 
8.3%
43979
 
9.3%
312924
30.2%
25178
12.1%
15382
12.6%

KBA13_CCM_3000
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.587591449
Minimum0
Maximum5
Zeros2530
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:18.774503image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.366730654
Coefficient of variation (CV)0.5281864159
Kurtosis-0.6438252612
Mean2.587591449
Median Absolute Deviation (MAD)1
Skewness-0.1124593384
Sum90545
Variance1.867952679
MonotonicityNot monotonic
2021-05-29T15:57:18.881827image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
313535
31.6%
16454
15.1%
24912
 
11.5%
44143
 
9.7%
53418
 
8.0%
02530
 
5.9%
(Missing)7841
18.3%
ValueCountFrequency (%)
02530
 
5.9%
16454
15.1%
24912
 
11.5%
313535
31.6%
44143
 
9.7%
ValueCountFrequency (%)
53418
 
8.0%
44143
 
9.7%
313535
31.6%
24912
 
11.5%
16454
15.1%

KBA13_CCM_3001
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.609567901
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:18.980810image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.511484397
Coefficient of variation (CV)0.5792086869
Kurtosis-1.582482765
Mean2.609567901
Median Absolute Deviation (MAD)2
Skewness0.1059577591
Sum91314
Variance2.284585084
MonotonicityNot monotonic
2021-05-29T15:57:19.097224image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
115252
35.6%
49424
22.0%
36604
15.4%
53710
 
8.7%
22
 
< 0.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
115252
35.6%
22
 
< 0.1%
36604
15.4%
49424
22.0%
53710
 
8.7%
ValueCountFrequency (%)
53710
 
8.7%
49424
22.0%
36604
15.4%
22
 
< 0.1%
115252
35.6%

KBA13_FAB_ASIEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.951217421
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:19.216628image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.024181466
Coefficient of variation (CV)0.3470369411
Kurtosis-0.3069090302
Mean2.951217421
Median Absolute Deviation (MAD)1
Skewness0.05864913026
Sum103269
Variance1.048947676
MonotonicityNot monotonic
2021-05-29T15:57:19.327517image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314951
34.9%
27839
18.3%
46620
15.5%
12913
 
6.8%
52669
 
6.2%
(Missing)7841
18.3%
ValueCountFrequency (%)
12913
 
6.8%
27839
18.3%
314951
34.9%
46620
15.5%
52669
 
6.2%
ValueCountFrequency (%)
52669
 
6.2%
46620
15.5%
314951
34.9%
27839
18.3%
12913
 
6.8%

KBA13_FAB_SONSTIGE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.977652035
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:19.432229image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.024722602
Coefficient of variation (CV)0.3441377939
Kurtosis-0.3152323078
Mean2.977652035
Median Absolute Deviation (MAD)1
Skewness0.02889213339
Sum104194
Variance1.050056411
MonotonicityNot monotonic
2021-05-29T15:57:19.541956image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314939
34.9%
27534
17.6%
46950
16.2%
12834
 
6.6%
52735
 
6.4%
(Missing)7841
18.3%
ValueCountFrequency (%)
12834
 
6.6%
27534
17.6%
314939
34.9%
46950
16.2%
52735
 
6.4%
ValueCountFrequency (%)
52735
 
6.4%
46950
16.2%
314939
34.9%
27534
17.6%
12834
 
6.6%

KBA13_FIAT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.089649063
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:19.634526image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.018052746
Coefficient of variation (CV)0.3295043305
Kurtosis-0.3213688605
Mean3.089649063
Median Absolute Deviation (MAD)1
Skewness0.02552147606
Sum108113
Variance1.036431394
MonotonicityNot monotonic
2021-05-29T15:57:19.729812image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314999
35.0%
47542
17.6%
26933
16.2%
53391
 
7.9%
12127
 
5.0%
(Missing)7841
18.3%
ValueCountFrequency (%)
12127
 
5.0%
26933
16.2%
314999
35.0%
47542
17.6%
53391
 
7.9%
ValueCountFrequency (%)
53391
 
7.9%
47542
17.6%
314999
35.0%
26933
16.2%
12127
 
5.0%

KBA13_FORD
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.939243256
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:19.819603image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.056529054
Coefficient of variation (CV)0.3594561463
Kurtosis-0.3835876062
Mean2.939243256
Median Absolute Deviation (MAD)1
Skewness0.08731757667
Sum102850
Variance1.116253641
MonotonicityNot monotonic
2021-05-29T15:57:19.915020image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314521
33.9%
27946
18.6%
46286
14.7%
13236
 
7.6%
53003
 
7.0%
(Missing)7841
18.3%
ValueCountFrequency (%)
13236
 
7.6%
27946
18.6%
314521
33.9%
46286
14.7%
53003
 
7.0%
ValueCountFrequency (%)
53003
 
7.0%
46286
14.7%
314521
33.9%
27946
18.6%
13236
 
7.6%

KBA13_GBZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.459905121
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:20.005344image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.095217427
Coefficient of variation (CV)0.3165455087
Kurtosis-0.543812113
Mean3.459905121
Median Absolute Deviation (MAD)1
Skewness-0.2405265577
Sum121069
Variance1.199501211
MonotonicityNot monotonic
2021-05-29T15:57:20.100819image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
312811
29.9%
48911
20.8%
57379
17.2%
24206
 
9.8%
11685
 
3.9%
(Missing)7841
18.3%
ValueCountFrequency (%)
11685
 
3.9%
24206
 
9.8%
312811
29.9%
48911
20.8%
57379
17.2%
ValueCountFrequency (%)
57379
17.2%
48911
20.8%
312811
29.9%
24206
 
9.8%
11685
 
3.9%

KBA13_HALTER_20
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.916123685
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:20.190252image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.008279619
Coefficient of variation (CV)0.3457602379
Kurtosis-0.2894615672
Mean2.916123685
Median Absolute Deviation (MAD)1
Skewness0.06827769837
Sum102041
Variance1.01662779
MonotonicityNot monotonic
2021-05-29T15:57:20.287094image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314893
34.8%
28299
19.4%
46560
15.3%
12919
 
6.8%
52321
 
5.4%
(Missing)7841
18.3%
ValueCountFrequency (%)
12919
 
6.8%
28299
19.4%
314893
34.8%
46560
15.3%
52321
 
5.4%
ValueCountFrequency (%)
52321
 
5.4%
46560
15.3%
314893
34.8%
28299
19.4%
12919
 
6.8%

KBA13_HALTER_25
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.890517833
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:20.378386image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.052528169
Coefficient of variation (CV)0.364131353
Kurtosis-0.387666274
Mean2.890517833
Median Absolute Deviation (MAD)1
Skewness0.03575421837
Sum101145
Variance1.107815547
MonotonicityNot monotonic
2021-05-29T15:57:20.474203image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314595
34.1%
27735
18.1%
46400
14.9%
13755
 
8.8%
52507
 
5.9%
(Missing)7841
18.3%
ValueCountFrequency (%)
13755
 
8.8%
27735
18.1%
314595
34.1%
46400
14.9%
52507
 
5.9%
ValueCountFrequency (%)
52507
 
5.9%
46400
14.9%
314595
34.1%
27735
18.1%
13755
 
8.8%

KBA13_HALTER_30
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.968078418
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:20.564185image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.065854024
Coefficient of variation (CV)0.3591057491
Kurtosis-0.4155336125
Mean2.968078418
Median Absolute Deviation (MAD)1
Skewness0.01338115631
Sum103859
Variance1.1360448
MonotonicityNot monotonic
2021-05-29T15:57:20.674219image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314477
33.8%
27250
16.9%
46841
16.0%
13389
 
7.9%
53035
 
7.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
13389
 
7.9%
27250
16.9%
314477
33.8%
46841
16.0%
53035
 
7.1%
ValueCountFrequency (%)
53035
 
7.1%
46841
16.0%
314477
33.8%
27250
16.9%
13389
 
7.9%

KBA13_HALTER_35
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.026520348
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:20.778378image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.084514041
Coefficient of variation (CV)0.3583369402
Kurtosis-0.4866398696
Mean3.026520348
Median Absolute Deviation (MAD)1
Skewness-0.01655839185
Sum105904
Variance1.176170704
MonotonicityNot monotonic
2021-05-29T15:57:20.890077image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313954
32.6%
47358
17.2%
26966
16.3%
53491
 
8.2%
13223
 
7.5%
(Missing)7841
18.3%
ValueCountFrequency (%)
13223
 
7.5%
26966
16.3%
313954
32.6%
47358
17.2%
53491
 
8.2%
ValueCountFrequency (%)
53491
 
8.2%
47358
17.2%
313954
32.6%
26966
16.3%
13223
 
7.5%

KBA13_HALTER_40
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.025634431
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:20.994411image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.083151023
Coefficient of variation (CV)0.3579913727
Kurtosis-0.466207294
Mean3.025634431
Median Absolute Deviation (MAD)1
Skewness-0.009010278644
Sum105873
Variance1.173216139
MonotonicityNot monotonic
2021-05-29T15:57:21.107195image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314185
33.1%
47164
16.7%
26887
16.1%
53533
 
8.2%
13223
 
7.5%
(Missing)7841
18.3%
ValueCountFrequency (%)
13223
 
7.5%
26887
16.1%
314185
33.1%
47164
16.7%
53533
 
8.2%
ValueCountFrequency (%)
53533
 
8.2%
47164
16.7%
314185
33.1%
26887
16.1%
13223
 
7.5%

KBA13_HALTER_45
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.979595336
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:21.211048image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.080422363
Coefficient of variation (CV)0.3626070795
Kurtosis-0.476357731
Mean2.979595336
Median Absolute Deviation (MAD)1
Skewness0.03314485033
Sum104262
Variance1.167312482
MonotonicityNot monotonic
2021-05-29T15:57:21.321533image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313992
32.7%
27493
17.5%
46887
16.1%
13337
 
7.8%
53283
 
7.7%
(Missing)7841
18.3%
ValueCountFrequency (%)
13337
 
7.8%
27493
17.5%
313992
32.7%
46887
16.1%
53283
 
7.7%
ValueCountFrequency (%)
53283
 
7.7%
46887
16.1%
313992
32.7%
27493
17.5%
13337
 
7.8%

KBA13_HALTER_50
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.912580018
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:21.425813image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.065106196
Coefficient of variation (CV)0.3656916513
Kurtosis-0.4226919631
Mean2.912580018
Median Absolute Deviation (MAD)1
Skewness0.05749946121
Sum101917
Variance1.13445121
MonotonicityNot monotonic
2021-05-29T15:57:21.537330image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314295
33.4%
27843
18.3%
46432
15.0%
13623
 
8.5%
52799
 
6.5%
(Missing)7841
18.3%
ValueCountFrequency (%)
13623
 
8.5%
27843
18.3%
314295
33.4%
46432
15.0%
52799
 
6.5%
ValueCountFrequency (%)
52799
 
6.5%
46432
15.0%
314295
33.4%
27843
18.3%
13623
 
8.5%

KBA13_HALTER_55
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.917066758
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:21.640275image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.077931686
Coefficient of variation (CV)0.3695258885
Kurtosis-0.4628368657
Mean2.917066758
Median Absolute Deviation (MAD)1
Skewness0.07620353621
Sum102074
Variance1.161936719
MonotonicityNot monotonic
2021-05-29T15:57:21.731108image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313975
32.6%
27997
18.7%
46393
14.9%
13638
 
8.5%
52989
 
7.0%
(Missing)7841
18.3%
ValueCountFrequency (%)
13638
 
8.5%
27997
18.7%
313975
32.6%
46393
14.9%
52989
 
7.0%
ValueCountFrequency (%)
52989
 
7.0%
46393
14.9%
313975
32.6%
27997
18.7%
13638
 
8.5%

KBA13_HALTER_60
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.980967078
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:21.818984image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.072402836
Coefficient of variation (CV)0.3597499764
Kurtosis-0.4449691209
Mean2.980967078
Median Absolute Deviation (MAD)1
Skewness0.0433804214
Sum104310
Variance1.150047843
MonotonicityNot monotonic
2021-05-29T15:57:21.913965image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314220
33.2%
27512
17.5%
46766
15.8%
53267
 
7.6%
13227
 
7.5%
(Missing)7841
18.3%
ValueCountFrequency (%)
13227
 
7.5%
27512
17.5%
314220
33.2%
46766
15.8%
53267
 
7.6%
ValueCountFrequency (%)
53267
 
7.6%
46766
15.8%
314220
33.2%
27512
17.5%
13227
 
7.5%

KBA13_HALTER_65
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.144433013
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:22.004105image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.058842034
Coefficient of variation (CV)0.33673544
Kurtosis-0.4407752625
Mean3.144433013
Median Absolute Deviation (MAD)1
Skewness-0.004953956063
Sum110030
Variance1.121146453
MonotonicityNot monotonic
2021-05-29T15:57:22.102445image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314382
33.6%
47633
17.8%
26527
15.2%
54212
 
9.8%
12238
 
5.2%
(Missing)7841
18.3%
ValueCountFrequency (%)
12238
 
5.2%
26527
15.2%
314382
33.6%
47633
17.8%
54212
 
9.8%
ValueCountFrequency (%)
54212
 
9.8%
47633
17.8%
314382
33.6%
26527
15.2%
12238
 
5.2%

KBA13_HALTER_66
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.129258116
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:22.193119image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.095173309
Coefficient of variation (CV)0.349978579
Kurtosis-0.5165664333
Mean3.129258116
Median Absolute Deviation (MAD)1
Skewness-0.04949573581
Sum109499
Variance1.199404577
MonotonicityNot monotonic
2021-05-29T15:57:22.289550image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313811
32.2%
47698
18.0%
26359
14.8%
54358
 
10.2%
12766
 
6.5%
(Missing)7841
18.3%
ValueCountFrequency (%)
12766
 
6.5%
26359
14.8%
313811
32.2%
47698
18.0%
54358
 
10.2%
ValueCountFrequency (%)
54358
 
10.2%
47698
18.0%
313811
32.2%
26359
14.8%
12766
 
6.5%

KBA13_HERST_ASIEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.969021491
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:22.386117image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.054926336
Coefficient of variation (CV)0.355311115
Kurtosis-0.3977956134
Mean2.969021491
Median Absolute Deviation (MAD)1
Skewness0.05779372868
Sum103892
Variance1.112869575
MonotonicityNot monotonic
2021-05-29T15:57:22.483411image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314447
33.7%
27716
18.0%
46686
15.6%
13085
 
7.2%
53058
 
7.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
13085
 
7.2%
27716
18.0%
314447
33.7%
46686
15.6%
53058
 
7.1%
ValueCountFrequency (%)
53058
 
7.1%
46686
15.6%
314447
33.7%
27716
18.0%
13085
 
7.2%

KBA13_HERST_AUDI_VW
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.985825332
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:22.573738image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.028542526
Coefficient of variation (CV)0.3444751155
Kurtosis-0.2993771045
Mean2.985825332
Median Absolute Deviation (MAD)1
Skewness-0.006666181466
Sum104480
Variance1.057899727
MonotonicityNot monotonic
2021-05-29T15:57:22.673501image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315164
35.4%
27074
16.5%
47022
16.4%
12977
 
7.0%
52755
 
6.4%
(Missing)7841
18.3%
ValueCountFrequency (%)
12977
 
7.0%
27074
16.5%
315164
35.4%
47022
16.4%
52755
 
6.4%
ValueCountFrequency (%)
52755
 
6.4%
47022
16.4%
315164
35.4%
27074
16.5%
12977
 
7.0%

KBA13_HERST_BMW_BENZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.19338706
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:22.778220image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.062887137
Coefficient of variation (CV)0.3328400589
Kurtosis-0.4321582652
Mean3.19338706
Median Absolute Deviation (MAD)1
Skewness-0.08406861717
Sum111743
Variance1.129729066
MonotonicityNot monotonic
2021-05-29T15:57:22.889844image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314157
33.1%
48319
19.4%
25848
13.7%
54408
 
10.3%
12260
 
5.3%
(Missing)7841
18.3%
ValueCountFrequency (%)
12260
 
5.3%
25848
13.7%
314157
33.1%
48319
19.4%
54408
 
10.3%
ValueCountFrequency (%)
54408
 
10.3%
48319
19.4%
314157
33.1%
25848
13.7%
12260
 
5.3%

KBA13_HERST_EUROPA
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.073102423
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:22.993752image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.035052048
Coefficient of variation (CV)0.336810137
Kurtosis-0.3337666366
Mean3.073102423
Median Absolute Deviation (MAD)1
Skewness-0.006671404622
Sum107534
Variance1.071332743
MonotonicityNot monotonic
2021-05-29T15:57:23.105804image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314949
34.9%
47459
17.4%
26707
15.7%
53390
 
7.9%
12487
 
5.8%
(Missing)7841
18.3%
ValueCountFrequency (%)
12487
 
5.8%
26707
15.7%
314949
34.9%
47459
17.4%
53390
 
7.9%
ValueCountFrequency (%)
53390
 
7.9%
47459
17.4%
314949
34.9%
26707
15.7%
12487
 
5.8%

KBA13_HERST_FORD_OPEL
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.889517604
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:23.209416image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.058799382
Coefficient of variation (CV)0.3664277318
Kurtosis-0.4088396636
Mean2.889517604
Median Absolute Deviation (MAD)1
Skewness0.06753572166
Sum101110
Variance1.12105613
MonotonicityNot monotonic
2021-05-29T15:57:23.330271image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314319
33.4%
28043
18.8%
46303
14.7%
13695
 
8.6%
52632
 
6.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
13695
 
8.6%
28043
18.8%
314319
33.4%
46303
14.7%
52632
 
6.1%
ValueCountFrequency (%)
52632
 
6.1%
46303
14.7%
314319
33.4%
28043
18.8%
13695
 
8.6%

KBA13_HERST_SONST
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.977652035
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:23.434910image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.024722602
Coefficient of variation (CV)0.3441377939
Kurtosis-0.3152323078
Mean2.977652035
Median Absolute Deviation (MAD)1
Skewness0.02889213339
Sum104194
Variance1.050056411
MonotonicityNot monotonic
2021-05-29T15:57:23.544949image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314939
34.9%
27534
17.6%
46950
16.2%
12834
 
6.6%
52735
 
6.4%
(Missing)7841
18.3%
ValueCountFrequency (%)
12834
 
6.6%
27534
17.6%
314939
34.9%
46950
16.2%
52735
 
6.4%
ValueCountFrequency (%)
52735
 
6.4%
46950
16.2%
314939
34.9%
27534
17.6%
12834
 
6.6%

KBA13_HHZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.491769547
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:23.651149image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9579425649
Coefficient of variation (CV)0.2743430091
Kurtosis-0.4900038432
Mean3.491769547
Median Absolute Deviation (MAD)1
Skewness0.02499721362
Sum122184
Variance0.9176539576
MonotonicityNot monotonic
2021-05-29T15:57:23.754373image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315303
35.7%
49119
21.3%
56405
15.0%
23609
 
8.4%
1556
 
1.3%
(Missing)7841
18.3%
ValueCountFrequency (%)
1556
 
1.3%
23609
 
8.4%
315303
35.7%
49119
21.3%
56405
15.0%
ValueCountFrequency (%)
56405
15.0%
49119
21.3%
315303
35.7%
23609
 
8.4%
1556
 
1.3%

KBA13_KMH_0_140
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.267975537
Minimum0
Maximum5
Zeros4639
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:23.838765image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.535181743
Coefficient of variation (CV)0.6768951947
Kurtosis-1.151833611
Mean2.267975537
Median Absolute Deviation (MAD)2
Skewness0.09110163436
Sum79361
Variance2.356782984
MonotonicityNot monotonic
2021-05-29T15:57:23.931045image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312233
28.6%
110753
25.1%
04639
 
10.8%
44044
 
9.4%
53029
 
7.1%
2294
 
0.7%
(Missing)7841
18.3%
ValueCountFrequency (%)
04639
 
10.8%
110753
25.1%
2294
 
0.7%
312233
28.6%
44044
 
9.4%
ValueCountFrequency (%)
53029
 
7.1%
44044
 
9.4%
312233
28.6%
2294
 
0.7%
110753
25.1%

KBA13_KMH_110
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean1.316186557
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:24.012764image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6667557489
Coefficient of variation (CV)0.5065814913
Kurtosis1.781865603
Mean1.316186557
Median Absolute Deviation (MAD)0
Skewness1.848604065
Sum46056
Variance0.4445632287
MonotonicityNot monotonic
2021-05-29T15:57:24.105993image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
127923
65.2%
33995
 
9.3%
23074
 
7.2%
(Missing)7841
 
18.3%
ValueCountFrequency (%)
127923
65.2%
23074
 
7.2%
33995
 
9.3%
ValueCountFrequency (%)
33995
 
9.3%
23074
 
7.2%
127923
65.2%

KBA13_KMH_140
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.64826246
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:24.191154image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.38343299
Coefficient of variation (CV)0.5223927051
Kurtosis-1.359600704
Mean2.64826246
Median Absolute Deviation (MAD)1
Skewness0.1108905534
Sum92668
Variance1.913886838
MonotonicityNot monotonic
2021-05-29T15:57:24.281022image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
111415
26.7%
48639
20.2%
37380
17.2%
24411
 
10.3%
53147
 
7.3%
(Missing)7841
18.3%
ValueCountFrequency (%)
111415
26.7%
24411
 
10.3%
37380
17.2%
48639
20.2%
53147
 
7.3%
ValueCountFrequency (%)
53147
 
7.3%
48639
20.2%
37380
17.2%
24411
 
10.3%
111415
26.7%

KBA13_KMH_140_210
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.8402492
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:24.368951image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9822085264
Coefficient of variation (CV)0.3458177284
Kurtosis-0.1789019925
Mean2.8402492
Median Absolute Deviation (MAD)1
Skewness0.01112302693
Sum99386
Variance0.9647335894
MonotonicityNot monotonic
2021-05-29T15:57:24.463968image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315885
37.1%
28031
18.7%
45895
 
13.8%
13454
 
8.1%
51727
 
4.0%
(Missing)7841
18.3%
ValueCountFrequency (%)
13454
 
8.1%
28031
18.7%
315885
37.1%
45895
 
13.8%
51727
 
4.0%
ValueCountFrequency (%)
51727
 
4.0%
45895
 
13.8%
315885
37.1%
28031
18.7%
13454
 
8.1%

KBA13_KMH_180
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.865797897
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:24.556045image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9805601957
Coefficient of variation (CV)0.3421595769
Kurtosis-0.2102885491
Mean2.865797897
Median Absolute Deviation (MAD)1
Skewness0.006359210553
Sum100280
Variance0.9614982974
MonotonicityNot monotonic
2021-05-29T15:57:24.654230image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315592
36.4%
28115
18.9%
46327
14.8%
13206
 
7.5%
51752
 
4.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
13206
 
7.5%
28115
18.9%
315592
36.4%
46327
14.8%
51752
 
4.1%
ValueCountFrequency (%)
51752
 
4.1%
46327
14.8%
315592
36.4%
28115
18.9%
13206
 
7.5%

KBA13_KMH_210
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.109367856
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:24.742705image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9661240645
Coefficient of variation (CV)0.3107139809
Kurtosis-0.1522735456
Mean3.109367856
Median Absolute Deviation (MAD)1
Skewness0.009546520392
Sum108803
Variance0.933395708
MonotonicityNot monotonic
2021-05-29T15:57:24.837280image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315965
37.3%
47879
18.4%
26464
15.1%
52945
 
6.9%
11739
 
4.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
11739
 
4.1%
26464
15.1%
315965
37.3%
47879
18.4%
52945
 
6.9%
ValueCountFrequency (%)
52945
 
6.9%
47879
18.4%
315965
37.3%
26464
15.1%
11739
 
4.1%

KBA13_KMH_211
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.497170782
Minimum0
Maximum5
Zeros5878
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:24.923903image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.493756546
Coefficient of variation (CV)0.5981795707
Kurtosis-0.6857590169
Mean2.497170782
Median Absolute Deviation (MAD)1
Skewness-0.237370945
Sum87381
Variance2.23130862
MonotonicityNot monotonic
2021-05-29T15:57:25.014384image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312433
29.0%
26891
16.1%
05878
13.7%
44010
 
9.4%
53620
 
8.5%
12160
 
5.0%
(Missing)7841
18.3%
ValueCountFrequency (%)
05878
13.7%
12160
 
5.0%
26891
16.1%
312433
29.0%
44010
 
9.4%
ValueCountFrequency (%)
53620
 
8.5%
44010
 
9.4%
312433
29.0%
26891
16.1%
12160
 
5.0%

KBA13_KMH_250
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.491855281
Minimum0
Maximum5
Zeros5951
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:25.099185image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.497959314
Coefficient of variation (CV)0.6011421791
Kurtosis-0.69998406
Mean2.491855281
Median Absolute Deviation (MAD)1
Skewness-0.2349678826
Sum87195
Variance2.243882106
MonotonicityNot monotonic
2021-05-29T15:57:25.191222image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312377
28.9%
26856
16.0%
05951
13.9%
44032
 
9.4%
53612
 
8.4%
12164
 
5.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
05951
13.9%
12164
 
5.1%
26856
16.0%
312377
28.9%
44032
 
9.4%
ValueCountFrequency (%)
53612
 
8.4%
44032
 
9.4%
312377
28.9%
26856
16.0%
12164
 
5.1%

KBA13_KMH_251
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean1.278492227
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:25.276636image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6828363041
Coefficient of variation (CV)0.5340949986
Kurtosis2.40015206
Mean1.278492227
Median Absolute Deviation (MAD)0
Skewness2.083529974
Sum44737
Variance0.4662654182
MonotonicityNot monotonic
2021-05-29T15:57:25.387661image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
129889
69.8%
34642
 
10.8%
2461
 
1.1%
(Missing)7841
 
18.3%
ValueCountFrequency (%)
129889
69.8%
2461
 
1.1%
34642
 
10.8%
ValueCountFrequency (%)
34642
 
10.8%
2461
 
1.1%
129889
69.8%

KBA13_KRSAQUOT
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.004029492
Minimum0
Maximum5
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:25.488086image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.050038844
Coefficient of variation (CV)0.3495434537
Kurtosis-0.3848951801
Mean3.004029492
Median Absolute Deviation (MAD)1
Skewness-0.01247588191
Sum105117
Variance1.102581574
MonotonicityNot monotonic
2021-05-29T15:57:25.600537image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314563
34.0%
47288
17.0%
27092
16.6%
13037
 
7.1%
53011
 
7.0%
01
 
< 0.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
01
 
< 0.1%
13037
 
7.1%
27092
16.6%
314563
34.0%
47288
17.0%
ValueCountFrequency (%)
53011
 
7.0%
47288
17.0%
314563
34.0%
27092
16.6%
13037
 
7.1%

KBA13_KRSHERST_AUDI_VW
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.006144262
Minimum0
Maximum5
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:25.699132image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.016365738
Coefficient of variation (CV)0.338096129
Kurtosis-0.3002311474
Mean3.006144262
Median Absolute Deviation (MAD)1
Skewness-0.0295976531
Sum105191
Variance1.032999314
MonotonicityNot monotonic
2021-05-29T15:57:25.809400image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314993
35.0%
47520
17.6%
27098
16.6%
12741
 
6.4%
52639
 
6.2%
01
 
< 0.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
01
 
< 0.1%
12741
 
6.4%
27098
16.6%
314993
35.0%
47520
17.6%
ValueCountFrequency (%)
52639
 
6.2%
47520
17.6%
314993
35.0%
27098
16.6%
12741
 
6.4%

KBA13_KRSHERST_BMW_BENZ
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.117884088
Minimum0
Maximum5
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:25.905526image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.033528516
Coefficient of variation (CV)0.3314839445
Kurtosis-0.3505090775
Mean3.117884088
Median Absolute Deviation (MAD)1
Skewness0.01023389215
Sum109101
Variance1.068181193
MonotonicityNot monotonic
2021-05-29T15:57:26.015341image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314924
34.8%
47538
17.6%
26600
15.4%
53762
 
8.8%
12167
 
5.1%
01
 
< 0.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
01
 
< 0.1%
12167
 
5.1%
26600
15.4%
314924
34.8%
47538
17.6%
ValueCountFrequency (%)
53762
 
8.8%
47538
17.6%
314924
34.8%
26600
15.4%
12167
 
5.1%

KBA13_KRSHERST_FORD_OPEL
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.983996342
Minimum0
Maximum5
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:26.113323image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.051080816
Coefficient of variation (CV)0.3522393113
Kurtosis-0.3890971612
Mean2.983996342
Median Absolute Deviation (MAD)1
Skewness0.0005933018352
Sum104416
Variance1.104770883
MonotonicityNot monotonic
2021-05-29T15:57:26.223317image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314538
33.9%
27263
17.0%
47122
16.6%
13138
 
7.3%
52930
 
6.8%
01
 
< 0.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
01
 
< 0.1%
13138
 
7.3%
27263
17.0%
314538
33.9%
47122
16.6%
ValueCountFrequency (%)
52930
 
6.8%
47122
16.6%
314538
33.9%
27263
17.0%
13138
 
7.3%

KBA13_KRSSEG_KLEIN
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean1.990769319
Minimum0
Maximum3
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:26.322801image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2872908588
Coefficient of variation (CV)0.144311476
Kurtosis9.135829536
Mean1.990769319
Median Absolute Deviation (MAD)0
Skewness-0.3001219507
Sum69661
Variance0.08253603755
MonotonicityNot monotonic
2021-05-29T15:57:26.408240image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
232104
75.0%
11604
 
3.7%
31283
 
3.0%
01
 
< 0.1%
(Missing)7841
 
18.3%
ValueCountFrequency (%)
01
 
< 0.1%
11604
 
3.7%
232104
75.0%
31283
 
3.0%
ValueCountFrequency (%)
31283
 
3.0%
232104
75.0%
11604
 
3.7%
01
 
< 0.1%

KBA13_KRSSEG_OBER
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean1.97210791
Minimum0
Maximum3
Zeros9
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:26.488533image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5853414374
Coefficient of variation (CV)0.2968100449
Kurtosis-0.06252434799
Mean1.97210791
Median Absolute Deviation (MAD)0
Skewness-0.003714418733
Sum69008
Variance0.3426245983
MonotonicityNot monotonic
2021-05-29T15:57:26.570066image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
223003
53.7%
16469
 
15.1%
35511
 
12.9%
09
 
< 0.1%
(Missing)7841
 
18.3%
ValueCountFrequency (%)
09
 
< 0.1%
16469
 
15.1%
223003
53.7%
35511
 
12.9%
ValueCountFrequency (%)
35511
 
12.9%
223003
53.7%
16469
 
15.1%
09
 
< 0.1%

KBA13_KRSSEG_VAN
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean1.971221994
Minimum0
Maximum3
Zeros22
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:26.655131image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.611494326
Coefficient of variation (CV)0.310210787
Kurtosis-0.2790711584
Mean1.971221994
Median Absolute Deviation (MAD)0
Skewness-0.001071197021
Sum68977
Variance0.3739253107
MonotonicityNot monotonic
2021-05-29T15:57:26.739389image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
221945
51.2%
16994
 
16.3%
36031
 
14.1%
022
 
0.1%
(Missing)7841
 
18.3%
ValueCountFrequency (%)
022
 
0.1%
16994
 
16.3%
221945
51.2%
36031
 
14.1%
ValueCountFrequency (%)
36031
 
14.1%
221945
51.2%
16994
 
16.3%
022
 
0.1%

KBA13_KRSZUL_NEU
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean1.899148377
Minimum0
Maximum3
Zeros1068
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:26.821709image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7682709117
Coefficient of variation (CV)0.404534433
Kurtosis-0.4496262499
Mean1.899148377
Median Absolute Deviation (MAD)1
Skewness-0.230199863
Sum66455
Variance0.5902401938
MonotonicityNot monotonic
2021-05-29T15:57:26.914231image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
217187
40.1%
19065
21.2%
37672
17.9%
01068
 
2.5%
(Missing)7841
18.3%
ValueCountFrequency (%)
01068
 
2.5%
19065
21.2%
217187
40.1%
37672
17.9%
ValueCountFrequency (%)
37672
17.9%
217187
40.1%
19065
21.2%
01068
 
2.5%

KBA13_KW_0_60
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.900205761
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:27.004481image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9719497444
Coefficient of variation (CV)0.335131306
Kurtosis-0.1501893384
Mean2.900205761
Median Absolute Deviation (MAD)1
Skewness0.03327559725
Sum101484
Variance0.9446863056
MonotonicityNot monotonic
2021-05-29T15:57:27.104162image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315871
37.1%
28031
18.7%
46329
 
14.8%
12828
 
6.6%
51933
 
4.5%
(Missing)7841
18.3%
ValueCountFrequency (%)
12828
 
6.6%
28031
18.7%
315871
37.1%
46329
 
14.8%
51933
 
4.5%
ValueCountFrequency (%)
51933
 
4.5%
46329
 
14.8%
315871
37.1%
28031
18.7%
12828
 
6.6%

KBA13_KW_110
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.477937814
Minimum0
Maximum5
Zeros5392
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:27.192364image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.45096929
Coefficient of variation (CV)0.5855551666
Kurtosis-0.6197638166
Mean2.477937814
Median Absolute Deviation (MAD)1
Skewness-0.2209237583
Sum86708
Variance2.10531188
MonotonicityNot monotonic
2021-05-29T15:57:27.285794image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312444
29.1%
27322
17.1%
05392
12.6%
43994
 
9.3%
53229
 
7.5%
12611
 
6.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
05392
12.6%
12611
 
6.1%
27322
17.1%
312444
29.1%
43994
 
9.3%
ValueCountFrequency (%)
53229
 
7.5%
43994
 
9.3%
312444
29.1%
27322
17.1%
12611
 
6.1%

KBA13_KW_120
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.401291724
Minimum0
Maximum5
Zeros4056
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:27.368583image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.529837762
Coefficient of variation (CV)0.6370895077
Kurtosis-1.107340162
Mean2.401291724
Median Absolute Deviation (MAD)1
Skewness-0.002013776439
Sum84026
Variance2.340403578
MonotonicityNot monotonic
2021-05-29T15:57:27.462374image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312379
28.9%
19609
22.4%
44418
 
10.3%
04056
 
9.5%
53516
 
8.2%
21014
 
2.4%
(Missing)7841
18.3%
ValueCountFrequency (%)
04056
 
9.5%
19609
22.4%
21014
 
2.4%
312379
28.9%
44418
 
10.3%
ValueCountFrequency (%)
53516
 
8.2%
44418
 
10.3%
312379
28.9%
21014
 
2.4%
19609
22.4%

KBA13_KW_121
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.524605624
Minimum0
Maximum5
Zeros4109
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:27.546204image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.442077181
Coefficient of variation (CV)0.5712088918
Kurtosis-0.7043457054
Mean2.524605624
Median Absolute Deviation (MAD)1
Skewness-0.1481824457
Sum88341
Variance2.079586595
MonotonicityNot monotonic
2021-05-29T15:57:27.641396image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312407
29.0%
25883
13.7%
14856
 
11.3%
44187
 
9.8%
04109
 
9.6%
53550
 
8.3%
(Missing)7841
18.3%
ValueCountFrequency (%)
04109
 
9.6%
14856
 
11.3%
25883
13.7%
312407
29.0%
44187
 
9.8%
ValueCountFrequency (%)
53550
 
8.3%
44187
 
9.8%
312407
29.0%
25883
13.7%
14856
 
11.3%

KBA13_KW_30
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean1.391175126
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:27.725756image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6697895713
Coefficient of variation (CV)0.4814559712
Kurtosis0.7095848632
Mean1.391175126
Median Absolute Deviation (MAD)0
Skewness1.45184635
Sum48680
Variance0.4486180698
MonotonicityNot monotonic
2021-05-29T15:57:27.816618image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
124986
58.3%
26324
 
14.8%
33682
 
8.6%
(Missing)7841
 
18.3%
ValueCountFrequency (%)
124986
58.3%
26324
 
14.8%
33682
 
8.6%
ValueCountFrequency (%)
33682
 
8.6%
26324
 
14.8%
124986
58.3%

KBA13_KW_40
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.325017147
Minimum0
Maximum5
Zeros4472
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:27.907923image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.393229032
Coefficient of variation (CV)0.5992338741
Kurtosis-0.704686508
Mean2.325017147
Median Absolute Deviation (MAD)1
Skewness-0.04606105805
Sum81357
Variance1.941087136
MonotonicityNot monotonic
2021-05-29T15:57:28.014694image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312267
28.6%
26383
14.9%
16036
14.1%
04472
 
10.4%
43416
 
8.0%
52418
 
5.6%
(Missing)7841
18.3%
ValueCountFrequency (%)
04472
 
10.4%
16036
14.1%
26383
14.9%
312267
28.6%
43416
 
8.0%
ValueCountFrequency (%)
52418
 
5.6%
43416
 
8.0%
312267
28.6%
26383
14.9%
16036
14.1%

KBA13_KW_50
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.288294467
Minimum0
Maximum5
Zeros6557
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:28.111686image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.435212517
Coefficient of variation (CV)0.6271974773
Kurtosis-0.6831539466
Mean2.288294467
Median Absolute Deviation (MAD)1
Skewness-0.1579449803
Sum80072
Variance2.059834969
MonotonicityNot monotonic
2021-05-29T15:57:28.218713image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
311793
27.5%
28485
19.8%
06557
15.3%
43442
 
8.0%
12405
 
5.6%
52310
 
5.4%
(Missing)7841
18.3%
ValueCountFrequency (%)
06557
15.3%
12405
 
5.6%
28485
19.8%
311793
27.5%
43442
 
8.0%
ValueCountFrequency (%)
52310
 
5.4%
43442
 
8.0%
311793
27.5%
28485
19.8%
12405
 
5.6%

KBA13_KW_60
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.25405807
Minimum0
Maximum5
Zeros6058
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:28.312768image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.414470424
Coefficient of variation (CV)0.6275217317
Kurtosis-0.693075675
Mean2.25405807
Median Absolute Deviation (MAD)1
Skewness-0.09688829034
Sum78874
Variance2.00072658
MonotonicityNot monotonic
2021-05-29T15:57:28.420002image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
311636
27.2%
28122
19.0%
06058
14.1%
13717
 
8.7%
43290
 
7.7%
52169
 
5.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
06058
14.1%
13717
 
8.7%
28122
19.0%
311636
27.2%
43290
 
7.7%
ValueCountFrequency (%)
52169
 
5.1%
43290
 
7.7%
311636
27.2%
28122
19.0%
13717
 
8.7%

KBA13_KW_61_120
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.070387517
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:28.517996image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9572562368
Coefficient of variation (CV)0.3117704952
Kurtosis-0.09054054441
Mean3.070387517
Median Absolute Deviation (MAD)1
Skewness-0.01680739368
Sum107439
Variance0.9163395029
MonotonicityNot monotonic
2021-05-29T15:57:28.632258image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
316267
38.0%
47708
18.0%
26513
15.2%
52569
 
6.0%
11935
 
4.5%
(Missing)7841
18.3%
ValueCountFrequency (%)
11935
 
4.5%
26513
15.2%
316267
38.0%
47708
18.0%
52569
 
6.0%
ValueCountFrequency (%)
52569
 
6.0%
47708
18.0%
316267
38.0%
26513
15.2%
11935
 
4.5%

KBA13_KW_70
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.318987197
Minimum0
Maximum5
Zeros6512
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:28.734038image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.445389392
Coefficient of variation (CV)0.6232847656
Kurtosis-0.6829252876
Mean2.318987197
Median Absolute Deviation (MAD)1
Skewness-0.1770217097
Sum81146
Variance2.089150493
MonotonicityNot monotonic
2021-05-29T15:57:28.841255image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312143
28.3%
28087
18.9%
06512
15.2%
43455
 
8.1%
52482
 
5.8%
12313
 
5.4%
(Missing)7841
18.3%
ValueCountFrequency (%)
06512
15.2%
12313
 
5.4%
28087
18.9%
312143
28.3%
43455
 
8.1%
ValueCountFrequency (%)
52482
 
5.8%
43455
 
8.1%
312143
28.3%
28087
18.9%
12313
 
5.4%

KBA13_KW_80
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.347450846
Minimum0
Maximum5
Zeros5694
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:28.928736image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.423837254
Coefficient of variation (CV)0.606546142
Kurtosis-0.6505763796
Mean2.347450846
Median Absolute Deviation (MAD)1
Skewness-0.1527340119
Sum82142
Variance2.027312527
MonotonicityNot monotonic
2021-05-29T15:57:29.017923image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312181
28.4%
27767
18.1%
05694
13.3%
43525
 
8.2%
13290
 
7.7%
52535
 
5.9%
(Missing)7841
18.3%
ValueCountFrequency (%)
05694
13.3%
13290
 
7.7%
27767
18.1%
312181
28.4%
43525
 
8.2%
ValueCountFrequency (%)
52535
 
5.9%
43525
 
8.2%
312181
28.4%
27767
18.1%
13290
 
7.7%

KBA13_KW_90
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.40666438
Minimum0
Maximum5
Zeros6039
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:29.100868image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.450577259
Coefficient of variation (CV)0.6027335056
Kurtosis-0.6415044715
Mean2.40666438
Median Absolute Deviation (MAD)1
Skewness-0.220363903
Sum84214
Variance2.104174384
MonotonicityNot monotonic
2021-05-29T15:57:29.193758image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312439
29.0%
27699
18.0%
06039
14.1%
43788
 
8.8%
52830
 
6.6%
12197
 
5.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
06039
14.1%
12197
 
5.1%
27699
18.0%
312439
29.0%
43788
 
8.8%
ValueCountFrequency (%)
52830
 
6.6%
43788
 
8.8%
312439
29.0%
27699
18.0%
12197
 
5.1%

KBA13_MAZDA
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.042838363
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:29.281262image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.005127964
Coefficient of variation (CV)0.3303257827
Kurtosis-0.2640366507
Mean3.042838363
Median Absolute Deviation (MAD)1
Skewness0.05457748601
Sum106475
Variance1.010282224
MonotonicityNot monotonic
2021-05-29T15:57:29.379608image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315330
35.8%
27287
17.0%
47124
16.6%
53041
 
7.1%
12210
 
5.2%
(Missing)7841
18.3%
ValueCountFrequency (%)
12210
 
5.2%
27287
17.0%
315330
35.8%
47124
16.6%
53041
 
7.1%
ValueCountFrequency (%)
53041
 
7.1%
47124
16.6%
315330
35.8%
27287
17.0%
12210
 
5.2%

KBA13_MERCEDES
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.155092593
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:29.471762image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.068023255
Coefficient of variation (CV)0.3385077375
Kurtosis-0.4399629851
Mean3.155092593
Median Absolute Deviation (MAD)1
Skewness-0.05607661795
Sum110403
Variance1.140673673
MonotonicityNot monotonic
2021-05-29T15:57:29.568187image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314259
33.3%
47929
18.5%
26130
14.3%
54244
 
9.9%
12430
 
5.7%
(Missing)7841
18.3%
ValueCountFrequency (%)
12430
 
5.7%
26130
14.3%
314259
33.3%
47929
18.5%
54244
 
9.9%
ValueCountFrequency (%)
54244
 
9.9%
47929
18.5%
314259
33.3%
26130
14.3%
12430
 
5.7%

KBA13_MOTOR
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.77157636
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:29.658260image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7736111263
Coefficient of variation (CV)0.2791231508
Kurtosis0.3121963127
Mean2.77157636
Median Absolute Deviation (MAD)0
Skewness-0.6729586334
Sum96983
Variance0.5984741747
MonotonicityNot monotonic
2021-05-29T15:57:29.750383image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
321063
49.2%
26542
 
15.3%
44441
 
10.4%
12946
 
6.9%
(Missing)7841
 
18.3%
ValueCountFrequency (%)
12946
 
6.9%
26542
 
15.3%
321063
49.2%
44441
 
10.4%
ValueCountFrequency (%)
44441
 
10.4%
321063
49.2%
26542
 
15.3%
12946
 
6.9%

KBA13_NISSAN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.987139918
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:29.845773image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.029698367
Coefficient of variation (CV)0.3447104574
Kurtosis-0.3472843047
Mean2.987139918
Median Absolute Deviation (MAD)1
Skewness0.08537756573
Sum104526
Variance1.060278728
MonotonicityNot monotonic
2021-05-29T15:57:29.953991image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314662
34.2%
27974
18.6%
46764
15.8%
52986
 
7.0%
12606
 
6.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
12606
 
6.1%
27974
18.6%
314662
34.2%
46764
15.8%
52986
 
7.0%
ValueCountFrequency (%)
52986
 
7.0%
46764
15.8%
314662
34.2%
27974
18.6%
12606
 
6.1%

KBA13_OPEL
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.915437814
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:30.059481image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.056852915
Coefficient of variation (CV)0.3625023006
Kurtosis-0.3915081285
Mean2.915437814
Median Absolute Deviation (MAD)1
Skewness0.06055182633
Sum102017
Variance1.116938084
MonotonicityNot monotonic
2021-05-29T15:57:30.172853image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314499
33.9%
27840
18.3%
46373
14.9%
13513
 
8.2%
52767
 
6.5%
(Missing)7841
18.3%
ValueCountFrequency (%)
13513
 
8.2%
27840
18.3%
314499
33.9%
46373
14.9%
52767
 
6.5%
ValueCountFrequency (%)
52767
 
6.5%
46373
14.9%
314499
33.9%
27840
18.3%
13513
 
8.2%

KBA13_PEUGEOT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.077560585
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:30.277281image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.021300125
Coefficient of variation (CV)0.3318537836
Kurtosis-0.3183910607
Mean3.077560585
Median Absolute Deviation (MAD)1
Skewness-0.01493393044
Sum107690
Variance1.043053944
MonotonicityNot monotonic
2021-05-29T15:57:30.389885image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314913
34.8%
47752
18.1%
26784
15.8%
53208
 
7.5%
12335
 
5.5%
(Missing)7841
18.3%
ValueCountFrequency (%)
12335
 
5.5%
26784
15.8%
314913
34.8%
47752
18.1%
53208
 
7.5%
ValueCountFrequency (%)
53208
 
7.5%
47752
18.1%
314913
34.8%
26784
15.8%
12335
 
5.5%

KBA13_RENAULT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.029492455
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:30.495502image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.054833472
Coefficient of variation (CV)0.3481881824
Kurtosis-0.4062394234
Mean3.029492455
Median Absolute Deviation (MAD)1
Skewness0.02772027931
Sum106008
Variance1.112673653
MonotonicityNot monotonic
2021-05-29T15:57:30.608036image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314460
33.8%
27270
17.0%
47118
16.6%
53368
 
7.9%
12776
 
6.5%
(Missing)7841
18.3%
ValueCountFrequency (%)
12776
 
6.5%
27270
17.0%
314460
33.8%
47118
16.6%
53368
 
7.9%
ValueCountFrequency (%)
53368
 
7.9%
47118
16.6%
314460
33.8%
27270
17.0%
12776
 
6.5%

KBA13_SEG_GELAENDEWAGEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.992055327
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:30.713087image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.007385936
Coefficient of variation (CV)0.3366869344
Kurtosis-0.2497516774
Mean2.992055327
Median Absolute Deviation (MAD)1
Skewness0.002134709369
Sum104698
Variance1.014826423
MonotonicityNot monotonic
2021-05-29T15:57:30.827610image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315380
35.9%
27213
16.8%
47099
16.6%
12691
 
6.3%
52609
 
6.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
12691
 
6.3%
27213
16.8%
315380
35.9%
47099
16.6%
52609
 
6.1%
ValueCountFrequency (%)
52609
 
6.1%
47099
16.6%
315380
35.9%
27213
16.8%
12691
 
6.3%

KBA13_SEG_GROSSRAUMVANS
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.120227481
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:30.932331image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.038748065
Coefficient of variation (CV)0.3329077996
Kurtosis-0.3781822911
Mean3.120227481
Median Absolute Deviation (MAD)1
Skewness-0.01844786057
Sum109183
Variance1.078997542
MonotonicityNot monotonic
2021-05-29T15:57:31.030228image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314599
34.1%
47864
18.4%
26573
15.3%
53707
 
8.7%
12249
 
5.3%
(Missing)7841
18.3%
ValueCountFrequency (%)
12249
 
5.3%
26573
15.3%
314599
34.1%
47864
18.4%
53707
 
8.7%
ValueCountFrequency (%)
53707
 
8.7%
47864
18.4%
314599
34.1%
26573
15.3%
12249
 
5.3%

KBA13_SEG_KLEINST
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.934785094
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:31.121897image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.028795487
Coefficient of variation (CV)0.3505522394
Kurtosis-0.3181684574
Mean2.934785094
Median Absolute Deviation (MAD)1
Skewness0.03604888473
Sum102694
Variance1.058420153
MonotonicityNot monotonic
2021-05-29T15:57:31.217256image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314938
34.9%
27713
18.0%
46631
15.5%
13155
 
7.4%
52555
 
6.0%
(Missing)7841
18.3%
ValueCountFrequency (%)
13155
 
7.4%
27713
18.0%
314938
34.9%
46631
15.5%
52555
 
6.0%
ValueCountFrequency (%)
52555
 
6.0%
46631
15.5%
314938
34.9%
27713
18.0%
13155
 
7.4%

KBA13_SEG_KLEINWAGEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.917295382
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:31.308650image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.030619958
Coefficient of variation (CV)0.3532792615
Kurtosis-0.3124966748
Mean2.917295382
Median Absolute Deviation (MAD)1
Skewness0.0490139384
Sum102082
Variance1.062177498
MonotonicityNot monotonic
2021-05-29T15:57:31.404686image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314983
35.0%
27807
18.2%
46403
14.9%
13272
 
7.6%
52527
 
5.9%
(Missing)7841
18.3%
ValueCountFrequency (%)
13272
 
7.6%
27807
18.2%
314983
35.0%
46403
14.9%
52527
 
5.9%
ValueCountFrequency (%)
52527
 
5.9%
46403
14.9%
314983
35.0%
27807
18.2%
13272
 
7.6%

KBA13_SEG_KOMPAKTKLASSE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.969793096
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:31.495978image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.031097054
Coefficient of variation (CV)0.3471949127
Kurtosis-0.310451045
Mean2.969793096
Median Absolute Deviation (MAD)1
Skewness0.04925346084
Sum103919
Variance1.063161136
MonotonicityNot monotonic
2021-05-29T15:57:31.594640image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315036
35.1%
27556
17.6%
46641
15.5%
12915
 
6.8%
52844
 
6.6%
(Missing)7841
18.3%
ValueCountFrequency (%)
12915
 
6.8%
27556
17.6%
315036
35.1%
46641
15.5%
52844
 
6.6%
ValueCountFrequency (%)
52844
 
6.6%
46641
15.5%
315036
35.1%
27556
17.6%
12915
 
6.8%

KBA13_SEG_MINIVANS
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.048639689
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:31.687443image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.008426888
Coefficient of variation (CV)0.3307792952
Kurtosis-0.2747016867
Mean3.048639689
Median Absolute Deviation (MAD)1
Skewness0.02351393009
Sum106678
Variance1.016924788
MonotonicityNot monotonic
2021-05-29T15:57:31.783931image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315229
35.6%
47359
17.2%
27103
16.6%
53012
 
7.0%
12289
 
5.3%
(Missing)7841
18.3%
ValueCountFrequency (%)
12289
 
5.3%
27103
16.6%
315229
35.6%
47359
17.2%
53012
 
7.0%
ValueCountFrequency (%)
53012
 
7.0%
47359
17.2%
315229
35.6%
27103
16.6%
12289
 
5.3%

KBA13_SEG_MINIWAGEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.048668267
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:31.874065image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.014373537
Coefficient of variation (CV)0.3327267672
Kurtosis-0.2990576551
Mean3.048668267
Median Absolute Deviation (MAD)1
Skewness0.02842840517
Sum106679
Variance1.028953672
MonotonicityNot monotonic
2021-05-29T15:57:31.969968image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315075
35.2%
47349
17.2%
27178
16.8%
53078
 
7.2%
12312
 
5.4%
(Missing)7841
18.3%
ValueCountFrequency (%)
12312
 
5.4%
27178
16.8%
315075
35.2%
47349
17.2%
53078
 
7.2%
ValueCountFrequency (%)
53078
 
7.2%
47349
17.2%
315075
35.2%
27178
16.8%
12312
 
5.4%

KBA13_SEG_MITTELKLASSE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.06698674
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:32.060330image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.0176486
Coefficient of variation (CV)0.3318073035
Kurtosis-0.2913688177
Mean3.06698674
Median Absolute Deviation (MAD)1
Skewness0.01272670962
Sum107320
Variance1.035608673
MonotonicityNot monotonic
2021-05-29T15:57:32.158629image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315185
35.5%
47408
17.3%
26870
16.0%
53216
 
7.5%
12313
 
5.4%
(Missing)7841
18.3%
ValueCountFrequency (%)
12313
 
5.4%
26870
16.0%
315185
35.5%
47408
17.3%
53216
 
7.5%
ValueCountFrequency (%)
53216
 
7.5%
47408
17.3%
315185
35.5%
26870
16.0%
12313
 
5.4%

KBA13_SEG_OBEREMITTELKLASSE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.103109282
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:32.249023image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.030250101
Coefficient of variation (CV)0.3320057423
Kurtosis-0.3355953816
Mean3.103109282
Median Absolute Deviation (MAD)1
Skewness-0.01815906426
Sum108584
Variance1.06141527
MonotonicityNot monotonic
2021-05-29T15:57:32.347806image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314880
34.7%
47756
18.1%
26556
15.3%
53502
 
8.2%
12298
 
5.4%
(Missing)7841
18.3%
ValueCountFrequency (%)
12298
 
5.4%
26556
15.3%
314880
34.7%
47756
18.1%
53502
 
8.2%
ValueCountFrequency (%)
53502
 
8.2%
47756
18.1%
314880
34.7%
26556
15.3%
12298
 
5.4%

KBA13_SEG_OBERKLASSE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.472936671
Minimum0
Maximum5
Zeros3921
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:32.447071image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.487935258
Coefficient of variation (CV)0.6016875705
Kurtosis-0.9011867115
Mean2.472936671
Median Absolute Deviation (MAD)1
Skewness-0.04417266666
Sum86533
Variance2.213951331
MonotonicityNot monotonic
2021-05-29T15:57:32.542163image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312423
29.0%
17222
16.9%
03921
 
9.2%
53862
 
9.0%
43802
 
8.9%
23762
 
8.8%
(Missing)7841
18.3%
ValueCountFrequency (%)
03921
 
9.2%
17222
16.9%
23762
 
8.8%
312423
29.0%
43802
 
8.9%
ValueCountFrequency (%)
53862
 
9.0%
43802
 
8.9%
312423
29.0%
23762
 
8.8%
17222
16.9%

KBA13_SEG_SONSTIGE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.049525606
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:32.641460image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.945443462
Coefficient of variation (CV)0.3100296847
Kurtosis-0.1727362466
Mean3.049525606
Median Absolute Deviation (MAD)1
Skewness0.1204529625
Sum106709
Variance0.8938633399
MonotonicityNot monotonic
2021-05-29T15:57:32.753067image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315839
37.0%
27755
18.1%
47328
17.1%
52575
 
6.0%
11495
 
3.5%
(Missing)7841
18.3%
ValueCountFrequency (%)
11495
 
3.5%
27755
18.1%
315839
37.0%
47328
17.1%
52575
 
6.0%
ValueCountFrequency (%)
52575
 
6.0%
47328
17.1%
315839
37.0%
27755
18.1%
11495
 
3.5%

KBA13_SEG_SPORTWAGEN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.562842936
Minimum0
Maximum5
Zeros3574
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:32.852798image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.443770546
Coefficient of variation (CV)0.5633472602
Kurtosis-0.7149111934
Mean2.562842936
Median Absolute Deviation (MAD)1
Skewness-0.08157509941
Sum89679
Variance2.08447339
MonotonicityNot monotonic
2021-05-29T15:57:32.961514image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
311553
27.0%
26605
15.4%
15107
11.9%
54091
 
9.6%
44062
 
9.5%
03574
 
8.3%
(Missing)7841
18.3%
ValueCountFrequency (%)
03574
 
8.3%
15107
11.9%
26605
15.4%
311553
27.0%
44062
 
9.5%
ValueCountFrequency (%)
54091
 
9.6%
44062
 
9.5%
311553
27.0%
26605
15.4%
15107
11.9%

KBA13_SEG_UTILITIES
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.018890032
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:33.059314image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.99670105
Coefficient of variation (CV)0.330154805
Kurtosis-0.2299697165
Mean3.018890032
Median Absolute Deviation (MAD)1
Skewness0.02317531817
Sum105637
Variance0.993412983
MonotonicityNot monotonic
2021-05-29T15:57:33.173552image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315471
36.1%
27240
16.9%
47197
16.8%
52718
 
6.3%
12366
 
5.5%
(Missing)7841
18.3%
ValueCountFrequency (%)
12366
 
5.5%
27240
16.9%
315471
36.1%
47197
16.8%
52718
 
6.3%
ValueCountFrequency (%)
52718
 
6.3%
47197
16.8%
315471
36.1%
27240
16.9%
12366
 
5.5%

KBA13_SEG_VAN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.089391861
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:33.278118image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.01825781
Coefficient of variation (CV)0.3295981398
Kurtosis-0.3126485866
Mean3.089391861
Median Absolute Deviation (MAD)1
Skewness-6.789843138 × 10-5
Sum108104
Variance1.036848969
MonotonicityNot monotonic
2021-05-29T15:57:33.395502image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314998
35.0%
47696
18.0%
26776
15.8%
53313
 
7.7%
12209
 
5.2%
(Missing)7841
18.3%
ValueCountFrequency (%)
12209
 
5.2%
26776
15.8%
314998
35.0%
47696
18.0%
53313
 
7.7%
ValueCountFrequency (%)
53313
 
7.7%
47696
18.0%
314998
35.0%
26776
15.8%
12209
 
5.2%

KBA13_SEG_WOHNMOBILE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.498513946
Minimum0
Maximum5
Zeros3876
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:33.496523image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.410226136
Coefficient of variation (CV)0.5644259612
Kurtosis-0.6148863598
Mean2.498513946
Median Absolute Deviation (MAD)1
Skewness-0.08593542387
Sum87428
Variance1.988737753
MonotonicityNot monotonic
2021-05-29T15:57:33.600733image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
311795
27.5%
27429
17.3%
14611
 
10.8%
03876
 
9.0%
43831
 
8.9%
53450
 
8.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
03876
 
9.0%
14611
 
10.8%
27429
17.3%
311795
27.5%
43831
 
8.9%
ValueCountFrequency (%)
53450
 
8.1%
43831
 
8.9%
311795
27.5%
27429
17.3%
14611
 
10.8%

KBA13_SITZE_4
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.128143576
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:33.682296image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.08232484
Coefficient of variation (CV)0.3459958961
Kurtosis-0.4934549253
Mean3.128143576
Median Absolute Deviation (MAD)1
Skewness-0.03140613007
Sum109460
Variance1.171427059
MonotonicityNot monotonic
2021-05-29T15:57:33.776090image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313957
32.6%
47679
17.9%
26513
15.2%
54251
 
9.9%
12592
 
6.1%
(Missing)7841
18.3%
ValueCountFrequency (%)
12592
 
6.1%
26513
15.2%
313957
32.6%
47679
17.9%
54251
 
9.9%
ValueCountFrequency (%)
54251
 
9.9%
47679
17.9%
313957
32.6%
26513
15.2%
12592
 
6.1%

KBA13_SITZE_5
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.848994056
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:33.865265image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.100817758
Coefficient of variation (CV)0.3863882257
Kurtosis-0.5513565952
Mean2.848994056
Median Absolute Deviation (MAD)1
Skewness0.07326066899
Sum99692
Variance1.211799737
MonotonicityNot monotonic
2021-05-29T15:57:33.961560image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313383
31.2%
28077
18.9%
46335
14.8%
14484
 
10.5%
52713
 
6.3%
(Missing)7841
18.3%
ValueCountFrequency (%)
14484
 
10.5%
28077
18.9%
313383
31.2%
46335
14.8%
52713
 
6.3%
ValueCountFrequency (%)
52713
 
6.3%
46335
14.8%
313383
31.2%
28077
18.9%
14484
 
10.5%

KBA13_SITZE_6
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.116512346
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:34.053114image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.080773424
Coefficient of variation (CV)0.3467893929
Kurtosis-0.4750621618
Mean3.116512346
Median Absolute Deviation (MAD)1
Skewness-0.05946495996
Sum109053
Variance1.168071194
MonotonicityNot monotonic
2021-05-29T15:57:34.152276image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313970
32.6%
47889
18.4%
26358
14.8%
54024
 
9.4%
12751
 
6.4%
(Missing)7841
18.3%
ValueCountFrequency (%)
12751
 
6.4%
26358
14.8%
313970
32.6%
47889
18.4%
54024
 
9.4%
ValueCountFrequency (%)
54024
 
9.4%
47889
18.4%
313970
32.6%
26358
14.8%
12751
 
6.4%

KBA13_TOYOTA
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.090963649
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:34.244596image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.02874386
Coefficient of variation (CV)0.3328230212
Kurtosis-0.3395771523
Mean3.090963649
Median Absolute Deviation (MAD)1
Skewness0.02565020996
Sum108159
Variance1.058313929
MonotonicityNot monotonic
2021-05-29T15:57:34.352902image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314954
34.9%
47409
17.3%
26868
16.0%
53541
 
8.3%
12220
 
5.2%
(Missing)7841
18.3%
ValueCountFrequency (%)
12220
 
5.2%
26868
16.0%
314954
34.9%
47409
17.3%
53541
 
8.3%
ValueCountFrequency (%)
53541
 
8.3%
47409
17.3%
314954
34.9%
26868
16.0%
12220
 
5.2%

KBA13_VORB_0
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.226966164
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:34.454529image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9750603119
Coefficient of variation (CV)0.3021600669
Kurtosis-0.2599456314
Mean3.226966164
Median Absolute Deviation (MAD)1
Skewness0.01076376957
Sum112918
Variance0.9507426118
MonotonicityNot monotonic
2021-05-29T15:57:34.562453image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315492
36.2%
48548
20.0%
25762
 
13.5%
53884
 
9.1%
11306
 
3.0%
(Missing)7841
18.3%
ValueCountFrequency (%)
11306
 
3.0%
25762
 
13.5%
315492
36.2%
48548
20.0%
53884
 
9.1%
ValueCountFrequency (%)
53884
 
9.1%
48548
20.0%
315492
36.2%
25762
 
13.5%
11306
 
3.0%

KBA13_VORB_1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean3.044067215
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:34.675370image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9594691029
Coefficient of variation (CV)0.3151931397
Kurtosis-0.109918363
Mean3.044067215
Median Absolute Deviation (MAD)1
Skewness0.003252571558
Sum106518
Variance0.9205809595
MonotonicityNot monotonic
2021-05-29T15:57:34.802611image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
316164
37.7%
47473
17.4%
26871
16.0%
52477
 
5.8%
12007
 
4.7%
(Missing)7841
18.3%
ValueCountFrequency (%)
12007
 
4.7%
26871
16.0%
316164
37.7%
47473
17.4%
52477
 
5.8%
ValueCountFrequency (%)
52477
 
5.8%
47473
17.4%
316164
37.7%
26871
16.0%
12007
 
4.7%

KBA13_VORB_1_2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.919495885
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:34.908255image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9722246491
Coefficient of variation (CV)0.3330111387
Kurtosis-0.1589498644
Mean2.919495885
Median Absolute Deviation (MAD)1
Skewness-0.01607623048
Sum102159
Variance0.9452207684
MonotonicityNot monotonic
2021-05-29T15:57:35.021124image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315932
37.2%
27614
17.8%
46699
15.6%
12849
 
6.7%
51898
 
4.4%
(Missing)7841
18.3%
ValueCountFrequency (%)
12849
 
6.7%
27614
17.8%
315932
37.2%
46699
15.6%
51898
 
4.4%
ValueCountFrequency (%)
51898
 
4.4%
46699
15.6%
315932
37.2%
27614
17.8%
12849
 
6.7%

KBA13_VORB_2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.93638546
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:35.127800image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9476357974
Coefficient of variation (CV)0.3227218669
Kurtosis-0.08184159941
Mean2.93638546
Median Absolute Deviation (MAD)1
Skewness0.06447534477
Sum102750
Variance0.8980136044
MonotonicityNot monotonic
2021-05-29T15:57:35.239288image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
316190
37.8%
28077
18.9%
46471
 
15.1%
12282
 
5.3%
51972
 
4.6%
(Missing)7841
18.3%
ValueCountFrequency (%)
12282
 
5.3%
28077
18.9%
316190
37.8%
46471
 
15.1%
51972
 
4.6%
ValueCountFrequency (%)
51972
 
4.6%
46471
 
15.1%
316190
37.8%
28077
18.9%
12282
 
5.3%

KBA13_VORB_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.153949474
Minimum0
Maximum5
Zeros7322
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:35.342124image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.430405424
Coefficient of variation (CV)0.6640849479
Kurtosis-0.7536674813
Mean2.153949474
Median Absolute Deviation (MAD)1
Skewness-0.07771420394
Sum75371
Variance2.046059678
MonotonicityNot monotonic
2021-05-29T15:57:35.447755image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
311315
26.4%
28677
20.3%
07322
17.1%
42882
 
6.7%
12859
 
6.7%
51937
 
4.5%
(Missing)7841
18.3%
ValueCountFrequency (%)
07322
17.1%
12859
 
6.7%
28677
20.3%
311315
26.4%
42882
 
6.7%
ValueCountFrequency (%)
51937
 
4.5%
42882
 
6.7%
311315
26.4%
28677
20.3%
12859
 
6.7%

KBA13_VW
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7841
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean2.971965021
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:35.546377image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.017065913
Coefficient of variation (CV)0.3422200147
Kurtosis-0.26345719
Mean2.971965021
Median Absolute Deviation (MAD)1
Skewness-0.001956172708
Sum103995
Variance1.034423071
MonotonicityNot monotonic
2021-05-29T15:57:35.658612image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315371
35.9%
27178
16.8%
46909
16.1%
12945
 
6.9%
52589
 
6.0%
(Missing)7841
18.3%
ValueCountFrequency (%)
12945
 
6.9%
27178
16.8%
315371
35.9%
46909
16.1%
52589
 
6.0%
ValueCountFrequency (%)
52589
 
6.0%
46909
16.1%
315371
35.9%
27178
16.8%
12945
 
6.9%

KK_KUNDENTYP
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing25035
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean3.43004832
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:35.742181image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.641739556
Coefficient of variation (CV)0.4786345271
Kurtosis-1.184722381
Mean3.43004832
Median Absolute Deviation (MAD)1
Skewness0.08552217891
Sum61048
Variance2.695308769
MonotonicityNot monotonic
2021-05-29T15:57:35.833903image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
33699
 
8.6%
23251
 
7.6%
53042
 
7.1%
12665
 
6.2%
42636
 
6.2%
62505
 
5.8%
(Missing)25035
58.4%
ValueCountFrequency (%)
12665
6.2%
23251
7.6%
33699
8.6%
42636
6.2%
53042
7.1%
ValueCountFrequency (%)
62505
5.8%
53042
7.1%
42636
6.2%
33699
8.6%
23251
7.6%

KKK
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8303
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean2.538980597
Minimum0
Maximum4
Zeros1539
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:35.920917image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.107346637
Coefficient of variation (CV)0.4361382827
Kurtosis-0.5666071325
Mean2.538980597
Median Absolute Deviation (MAD)1
Skewness-0.4405677757
Sum87671
Variance1.226216575
MonotonicityNot monotonic
2021-05-29T15:57:36.015526image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
312034
28.1%
28694
20.3%
47306
17.1%
14957
11.6%
01539
 
3.6%
(Missing)8303
19.4%
ValueCountFrequency (%)
01539
 
3.6%
14957
11.6%
28694
20.3%
312034
28.1%
47306
17.1%
ValueCountFrequency (%)
47306
17.1%
312034
28.1%
28694
20.3%
14957
11.6%
01539
 
3.6%

KOMBIALTER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.566292345
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:36.104665image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median4
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.035281428
Coefficient of variation (CV)0.4457185993
Kurtosis0.9302558464
Mean4.566292345
Median Absolute Deviation (MAD)0
Skewness1.463743409
Sum195588
Variance4.142370491
MonotonicityNot monotonic
2021-05-29T15:57:36.200216image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
427882
65.1%
96968
 
16.3%
35970
 
13.9%
21425
 
3.3%
1588
 
1.4%
ValueCountFrequency (%)
1588
 
1.4%
21425
 
3.3%
35970
 
13.9%
427882
65.1%
96968
 
16.3%
ValueCountFrequency (%)
96968
 
16.3%
427882
65.1%
35970
 
13.9%
21425
 
3.3%
1588
 
1.4%

KONSUMNAEHE
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing6926
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean3.157685131
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:36.289442image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.510183656
Coefficient of variation (CV)0.4782565689
Kurtosis-1.054811317
Mean3.157685131
Median Absolute Deviation (MAD)1
Skewness0.07199608532
Sum113383
Variance2.280654676
MonotonicityNot monotonic
2021-05-29T15:57:36.383278image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
37996
18.7%
57366
17.2%
16864
16.0%
46338
14.8%
25970
13.9%
61202
 
2.8%
7171
 
0.4%
(Missing)6926
16.2%
ValueCountFrequency (%)
16864
16.0%
25970
13.9%
37996
18.7%
46338
14.8%
57366
17.2%
ValueCountFrequency (%)
7171
 
0.4%
61202
 
2.8%
57366
17.2%
46338
14.8%
37996
18.7%

KONSUMZELLE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing7627
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean0.1902232574
Minimum0
Maximum1
Zeros28509
Zeros (%)66.6%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:36.471901image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3924827961
Coefficient of variation (CV)2.063274499
Kurtosis0.4921293229
Mean0.1902232574
Median Absolute Deviation (MAD)0
Skewness1.578639088
Sum6697
Variance0.1540427452
MonotonicityNot monotonic
2021-05-29T15:57:36.561520image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
028509
66.6%
16697
 
15.6%
(Missing)7627
 
17.8%
ValueCountFrequency (%)
028509
66.6%
16697
 
15.6%
ValueCountFrequency (%)
16697
 
15.6%
028509
66.6%

LP_FAMILIE_FEIN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct12
Distinct (%)< 0.1%
Missing578
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean4.143911963
Minimum0
Maximum11
Zeros8073
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:36.653955image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q310
95-th percentile11
Maximum11
Range11
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.399888205
Coefficient of variation (CV)1.061771641
Kurtosis-1.488851472
Mean4.143911963
Median Absolute Deviation (MAD)2
Skewness0.6166546802
Sum175101
Variance19.35901622
MonotonicityNot monotonic
2021-05-29T15:57:36.768267image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
112201
28.5%
108597
20.1%
08073
18.8%
27026
16.4%
114332
 
10.1%
9652
 
1.5%
8633
 
1.5%
7346
 
0.8%
5186
 
0.4%
4111
 
0.3%
Other values (2)98
 
0.2%
(Missing)578
 
1.3%
ValueCountFrequency (%)
08073
18.8%
112201
28.5%
27026
16.4%
330
 
0.1%
4111
 
0.3%
ValueCountFrequency (%)
114332
10.1%
108597
20.1%
9652
 
1.5%
8633
 
1.5%
7346
 
0.8%

LP_FAMILIE_GROB
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing578
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean2.350656727
Minimum0
Maximum5
Zeros8073
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:36.879663image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.982321876
Coefficient of variation (CV)0.8433055552
Kurtosis-1.522411662
Mean2.350656727
Median Absolute Deviation (MAD)2
Skewness0.3710142793
Sum99327
Variance3.929600021
MonotonicityNot monotonic
2021-05-29T15:57:37.003151image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
513581
31.7%
112201
28.5%
08073
18.8%
27026
16.4%
41047
 
2.4%
3327
 
0.8%
(Missing)578
 
1.3%
ValueCountFrequency (%)
08073
18.8%
112201
28.5%
27026
16.4%
3327
 
0.8%
41047
 
2.4%
ValueCountFrequency (%)
513581
31.7%
41047
 
2.4%
3327
 
0.8%
27026
16.4%
112201
28.5%

LP_LEBENSPHASE_FEIN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)0.1%
Missing578
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean17.77517454
Minimum0
Maximum40
Zeros8156
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:37.140550image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median15
Q332
95-th percentile40
Maximum40
Range40
Interquartile range (IQR)26

Descriptive statistics

Standard deviation14.09661615
Coefficient of variation (CV)0.7930507869
Kurtosis-1.375561596
Mean17.77517454
Median Absolute Deviation (MAD)15
Skewness0.2681290165
Sum751090
Variance198.714587
MonotonicityNot monotonic
2021-05-29T15:57:37.287325image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
08156
19.0%
63186
 
7.4%
402433
 
5.7%
82288
 
5.3%
382096
 
4.9%
121992
 
4.7%
131965
 
4.6%
201848
 
4.3%
311730
 
4.0%
321599
 
3.7%
Other values (31)14962
34.9%
ValueCountFrequency (%)
08156
19.0%
1124
 
0.3%
2115
 
0.3%
373
 
0.2%
464
 
0.1%
ValueCountFrequency (%)
402433
5.7%
391337
3.1%
382096
4.9%
371163
2.7%
361444
3.4%

LP_LEBENSPHASE_GROB
Real number (ℝ≥0)

MISSING
ZEROS

Distinct13
Distinct (%)< 0.1%
Missing578
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean5.313193705
Minimum0
Maximum12
Zeros8135
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:37.391106image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q310
95-th percentile12
Maximum12
Range12
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.475535267
Coefficient of variation (CV)0.8423437043
Kurtosis-1.379090455
Mean5.313193705
Median Absolute Deviation (MAD)4
Skewness0.4161018538
Sum224509
Variance20.03041593
MonotonicityNot monotonic
2021-05-29T15:57:37.499926image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
128473
19.8%
08135
19.0%
26555
15.3%
35241
12.2%
54079
9.5%
103329
 
7.8%
42944
 
6.9%
111166
 
2.7%
8799
 
1.9%
9583
 
1.4%
Other values (3)951
 
2.2%
(Missing)578
 
1.3%
ValueCountFrequency (%)
08135
19.0%
1376
 
0.9%
26555
15.3%
35241
12.2%
42944
 
6.9%
ValueCountFrequency (%)
128473
19.8%
111166
 
2.7%
103329
 
7.8%
9583
 
1.4%
8799
 
1.9%

LP_STATUS_FEIN
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)< 0.1%
Missing578
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean5.936528222
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:41.326607image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q39
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.412463023
Coefficient of variation (CV)0.5748246948
Kurtosis-1.497602482
Mean5.936528222
Median Absolute Deviation (MAD)4
Skewness-0.1710078775
Sum250848
Variance11.64490388
MonotonicityNot monotonic
2021-05-29T15:57:41.415214image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
109127
21.3%
98599
20.1%
18208
19.2%
55981
14.0%
33999
9.3%
42517
 
5.9%
61807
 
4.2%
71291
 
3.0%
2613
 
1.4%
8113
 
0.3%
(Missing)578
 
1.3%
ValueCountFrequency (%)
18208
19.2%
2613
 
1.4%
33999
9.3%
42517
 
5.9%
55981
14.0%
ValueCountFrequency (%)
109127
21.3%
98599
20.1%
8113
 
0.3%
71291
 
3.0%
61807
 
4.2%

LP_STATUS_GROB
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing578
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean2.924908295
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:41.495037image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.481674669
Coefficient of variation (CV)0.5065713245
Kurtosis-1.472269366
Mean2.924908295
Median Absolute Deviation (MAD)1
Skewness0.1424502095
Sum123592
Variance2.195359824
MonotonicityNot monotonic
2021-05-29T15:57:41.587973image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
212497
29.2%
59127
21.3%
18821
20.6%
48712
20.3%
33098
 
7.2%
(Missing)578
 
1.3%
ValueCountFrequency (%)
18821
20.6%
212497
29.2%
33098
 
7.2%
48712
20.3%
59127
21.3%
ValueCountFrequency (%)
59127
21.3%
48712
20.3%
33098
 
7.2%
212497
29.2%
18821
20.6%

MIN_GEBAEUDEJAHR
Real number (ℝ≥0)

MISSING

Distinct31
Distinct (%)0.1%
Missing7627
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean1992.880475
Minimum1985
Maximum2015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:41.685511image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1985
5-th percentile1992
Q11992
median1992
Q31992
95-th percentile1997
Maximum2015
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.481306554
Coefficient of variation (CV)0.001245085486
Kurtosis21.88518508
Mean1992.880475
Median Absolute Deviation (MAD)0
Skewness4.10538424
Sum70161350
Variance6.156882217
MonotonicityNot monotonic
2021-05-29T15:57:41.790000image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
199225753
60.1%
19943805
 
8.9%
19931219
 
2.8%
1995979
 
2.3%
1996698
 
1.6%
1997571
 
1.3%
1991301
 
0.7%
2000286
 
0.7%
1990251
 
0.6%
2001165
 
0.4%
Other values (21)1178
 
2.8%
(Missing)7627
 
17.8%
ValueCountFrequency (%)
19856
 
< 0.1%
19864
 
< 0.1%
198729
 
0.1%
198856
0.1%
1989137
0.3%
ValueCountFrequency (%)
201510
 
< 0.1%
201416
< 0.1%
201320
< 0.1%
201230
0.1%
201122
0.1%

MOBI_RASTER
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7627
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean2.689030279
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:41.876964image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.593513192
Coefficient of variation (CV)0.5925977123
Kurtosis-1.113040927
Mean2.689030279
Median Absolute Deviation (MAD)2
Skewness0.4297424015
Sum94670
Variance2.539284292
MonotonicityNot monotonic
2021-05-29T15:57:41.967508image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
112594
29.4%
36171
14.4%
45175
12.1%
24960
 
11.6%
54893
 
11.4%
61413
 
3.3%
(Missing)7627
17.8%
ValueCountFrequency (%)
112594
29.4%
24960
 
11.6%
36171
14.4%
45175
12.1%
54893
 
11.4%
ValueCountFrequency (%)
61413
 
3.3%
54893
11.4%
45175
12.1%
36171
14.4%
24960
11.6%

MOBI_REGIO
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8537
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean3.332487754
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:42.046663image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.414333578
Coefficient of variation (CV)0.4244077346
Kurtosis-1.183413878
Mean3.332487754
Median Absolute Deviation (MAD)1
Skewness-0.3428078294
Sum114291
Variance2.000339471
MonotonicityNot monotonic
2021-05-29T15:57:42.136821image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
59411
22.0%
48195
19.1%
36316
14.7%
15332
12.4%
25019
11.7%
623
 
0.1%
(Missing)8537
19.9%
ValueCountFrequency (%)
15332
12.4%
25019
11.7%
36316
14.7%
48195
19.1%
59411
22.0%
ValueCountFrequency (%)
623
 
0.1%
59411
22.0%
48195
19.1%
36316
14.7%
25019
11.7%

NATIONALITAET_KZ
Real number (ℝ≥0)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.871617678
Minimum0
Maximum3
Zeros7226
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:42.214189image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4646905215
Coefficient of variation (CV)0.5331357237
Kurtosis4.829977892
Mean0.871617678
Median Absolute Deviation (MAD)0
Skewness0.2698791561
Sum37334
Variance0.2159372808
MonotonicityNot monotonic
2021-05-29T15:57:42.300366image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
134381
80.3%
07226
 
16.9%
2725
 
1.7%
3501
 
1.2%
ValueCountFrequency (%)
07226
 
16.9%
134381
80.3%
2725
 
1.7%
3501
 
1.2%
ValueCountFrequency (%)
3501
 
1.2%
2725
 
1.7%
134381
80.3%
07226
 
16.9%

ONLINE_AFFINITAET
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing578
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean2.586628801
Minimum0
Maximum5
Zeros2105
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:42.381664image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.363056204
Coefficient of variation (CV)0.526962432
Kurtosis-0.8529404168
Mean2.586628801
Median Absolute Deviation (MAD)1
Skewness0.1456840456
Sum109298
Variance1.857922215
MonotonicityNot monotonic
2021-05-29T15:57:42.479330image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
214204
33.2%
48640
20.2%
16889
16.1%
36322
14.8%
54095
 
9.6%
02105
 
4.9%
(Missing)578
 
1.3%
ValueCountFrequency (%)
02105
 
4.9%
16889
16.1%
214204
33.2%
36322
14.8%
48640
20.2%
ValueCountFrequency (%)
54095
 
9.6%
48640
20.2%
36322
14.8%
214204
33.2%
16889
16.1%

ORTSGR_KLS9
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)< 0.1%
Missing7783
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean5.127931526
Minimum0
Maximum9
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:42.565976image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q37
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.386302146
Coefficient of variation (CV)0.4653537461
Kurtosis-1.025678258
Mean5.127931526
Median Absolute Deviation (MAD)2
Skewness0.1476881671
Sum179734
Variance5.694437931
MonotonicityNot monotonic
2021-05-29T15:57:42.655981image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
56208
14.5%
45267
12.3%
94626
10.8%
34462
10.4%
73612
8.4%
23552
8.3%
62767
 
6.5%
82723
 
6.4%
11832
 
4.3%
01
 
< 0.1%
(Missing)7783
18.2%
ValueCountFrequency (%)
01
 
< 0.1%
11832
 
4.3%
23552
8.3%
34462
10.4%
45267
12.3%
ValueCountFrequency (%)
94626
10.8%
82723
6.4%
73612
8.4%
62767
6.5%
56208
14.5%

OST_WEST_KZ
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing7627
Missing (%)17.8%
Memory size334.8 KiB
W
26773 
O
8433 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowW
2nd rowW
3rd rowW
4th rowO
5th rowW

Common Values

ValueCountFrequency (%)
W26773
62.5%
O8433
 
19.7%
(Missing)7627
 
17.8%

PLZ8_ANTG1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing8044
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean2.392049211
Minimum0
Maximum4
Zeros248
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:42.833570image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9775248398
Coefficient of variation (CV)0.4086558233
Kurtosis-0.8455810211
Mean2.392049211
Median Absolute Deviation (MAD)1
Skewness0.01838367356
Sum83217
Variance0.9555548123
MonotonicityNot monotonic
2021-05-29T15:57:42.925998image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
211764
27.5%
311046
25.8%
16791
15.9%
44940
11.5%
0248
 
0.6%
(Missing)8044
18.8%
ValueCountFrequency (%)
0248
 
0.6%
16791
15.9%
211764
27.5%
311046
25.8%
44940
11.5%
ValueCountFrequency (%)
44940
11.5%
311046
25.8%
211764
27.5%
16791
15.9%
0248
 
0.6%

PLZ8_ANTG2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing8044
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean2.705970278
Minimum0
Maximum4
Zeros395
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:43.029366image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9279767831
Coefficient of variation (CV)0.3429367982
Kurtosis-0.3268998623
Mean2.705970278
Median Absolute Deviation (MAD)1
Skewness-0.35576459
Sum94138
Variance0.8611409099
MonotonicityNot monotonic
2021-05-29T15:57:43.142244image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313729
32.1%
210482
24.5%
47268
17.0%
12915
 
6.8%
0395
 
0.9%
(Missing)8044
18.8%
ValueCountFrequency (%)
0395
 
0.9%
12915
 
6.8%
210482
24.5%
313729
32.1%
47268
17.0%
ValueCountFrequency (%)
47268
17.0%
313729
32.1%
210482
24.5%
12915
 
6.8%
0395
 
0.9%

PLZ8_ANTG3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing8044
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean1.467705309
Minimum0
Maximum3
Zeros6493
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:43.243266image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9854781925
Coefficient of variation (CV)0.6714414579
Kurtosis-1.019010265
Mean1.467705309
Median Absolute Deviation (MAD)1
Skewness0.05170910405
Sum51060
Variance0.9711672679
MonotonicityNot monotonic
2021-05-29T15:57:43.350635image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
111601
27.1%
210626
24.8%
06493
15.2%
36069
14.2%
(Missing)8044
18.8%
ValueCountFrequency (%)
06493
15.2%
111601
27.1%
210626
24.8%
36069
14.2%
ValueCountFrequency (%)
36069
14.2%
210626
24.8%
111601
27.1%
06493
15.2%

PLZ8_ANTG4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing8044
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean0.6093305355
Minimum0
Maximum2
Zeros18122
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:43.464149image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7060777581
Coefficient of variation (CV)1.158776258
Kurtosis-0.7182769939
Mean0.6093305355
Median Absolute Deviation (MAD)0
Skewness0.7194651618
Sum21198
Variance0.4985458005
MonotonicityNot monotonic
2021-05-29T15:57:43.555388image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
018122
42.3%
112136
28.3%
24531
 
10.6%
(Missing)8044
18.8%
ValueCountFrequency (%)
018122
42.3%
112136
28.3%
24531
 
10.6%
ValueCountFrequency (%)
24531
 
10.6%
112136
28.3%
018122
42.3%

PLZ8_BAUMAX
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing8044
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean1.776222369
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:43.645637image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.356137183
Coefficient of variation (CV)0.7634951605
Kurtosis0.6939711328
Mean1.776222369
Median Absolute Deviation (MAD)0
Skewness1.50278047
Sum61793
Variance1.839108059
MonotonicityNot monotonic
2021-05-29T15:57:43.736628image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
124359
56.9%
53410
 
8.0%
22840
 
6.6%
42164
 
5.1%
32016
 
4.7%
(Missing)8044
 
18.8%
ValueCountFrequency (%)
124359
56.9%
22840
 
6.6%
32016
 
4.7%
42164
 
5.1%
53410
 
8.0%
ValueCountFrequency (%)
53410
 
8.0%
42164
 
5.1%
32016
 
4.7%
22840
 
6.6%
124359
56.9%

PLZ8_GBZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing8044
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean3.424501998
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:43.822655image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.08586932
Coefficient of variation (CV)0.3170882424
Kurtosis-0.518171033
Mean3.424501998
Median Absolute Deviation (MAD)1
Skewness-0.2095506686
Sum119135
Variance1.179112179
MonotonicityNot monotonic
2021-05-29T15:57:43.911682image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313094
30.6%
48833
20.6%
56832
16.0%
24331
 
10.1%
11699
 
4.0%
(Missing)8044
18.8%
ValueCountFrequency (%)
11699
 
4.0%
24331
 
10.1%
313094
30.6%
48833
20.6%
56832
16.0%
ValueCountFrequency (%)
56832
16.0%
48833
20.6%
313094
30.6%
24331
 
10.1%
11699
 
4.0%

PLZ8_HHZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing8044
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean3.532093478
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:43.997268image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9548177559
Coefficient of variation (CV)0.2703262985
Kurtosis-0.5503825339
Mean3.532093478
Median Absolute Deviation (MAD)1
Skewness0.01781335321
Sum122878
Variance0.911676947
MonotonicityNot monotonic
2021-05-29T15:57:44.092379image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314992
35.0%
49210
21.5%
56786
15.8%
23331
 
7.8%
1470
 
1.1%
(Missing)8044
18.8%
ValueCountFrequency (%)
1470
 
1.1%
23331
 
7.8%
314992
35.0%
49210
21.5%
56786
15.8%
ValueCountFrequency (%)
56786
15.8%
49210
21.5%
314992
35.0%
23331
 
7.8%
1470
 
1.1%

PRAEGENDE_JUGENDJAHRE
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.464454976
Minimum0
Maximum15
Zeros7365
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:44.183584image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q36
95-th percentile12
Maximum15
Range15
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.76727788
Coefficient of variation (CV)0.8438382513
Kurtosis0.1653395666
Mean4.464454976
Median Absolute Deviation (MAD)3
Skewness0.8460481672
Sum191226
Variance14.19238263
MonotonicityNot monotonic
2021-05-29T15:57:44.283989image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
07365
17.2%
36918
16.2%
55814
13.6%
14374
10.2%
83934
9.2%
43536
8.3%
62253
 
5.3%
91925
 
4.5%
21910
 
4.5%
111131
 
2.6%
Other values (6)3673
8.6%
ValueCountFrequency (%)
07365
17.2%
14374
10.2%
21910
 
4.5%
36918
16.2%
43536
8.3%
ValueCountFrequency (%)
15654
1.5%
141108
2.6%
13187
 
0.4%
12307
 
0.7%
111131
2.6%

REGIOTYP
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing8303
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean4.116333623
Minimum0
Maximum7
Zeros1539
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:44.372789image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median5
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.007499103
Coefficient of variation (CV)0.4876910587
Kurtosis-0.9975851073
Mean4.116333623
Median Absolute Deviation (MAD)1
Skewness-0.3850581869
Sum142137
Variance4.030052647
MonotonicityNot monotonic
2021-05-29T15:57:44.464601image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
68102
18.9%
56676
15.6%
24693
11.0%
34437
10.4%
43227
 
7.5%
73114
 
7.3%
12742
 
6.4%
01539
 
3.6%
(Missing)8303
19.4%
ValueCountFrequency (%)
01539
 
3.6%
12742
6.4%
24693
11.0%
34437
10.4%
43227
7.5%
ValueCountFrequency (%)
73114
 
7.3%
68102
18.9%
56676
15.6%
43227
 
7.5%
34437
10.4%

RELAT_AB
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7783
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean2.964308131
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:44.565095image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.354194449
Coefficient of variation (CV)0.4568332268
Kurtosis-1.01429886
Mean2.964308131
Median Absolute Deviation (MAD)1
Skewness0.04114216777
Sum103899
Variance1.833842605
MonotonicityNot monotonic
2021-05-29T15:57:44.675063image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312037
28.1%
17102
16.6%
56620
15.5%
24799
 
11.2%
44488
 
10.5%
94
 
< 0.1%
(Missing)7783
18.2%
ValueCountFrequency (%)
17102
16.6%
24799
 
11.2%
312037
28.1%
44488
 
10.5%
56620
15.5%
ValueCountFrequency (%)
94
 
< 0.1%
56620
15.5%
44488
 
10.5%
312037
28.1%
24799
 
11.2%

RETOURTYP_BK_S
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing578
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean3.717500887
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:44.776816image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.177935793
Coefficient of variation (CV)0.3168622763
Kurtosis-1.155276074
Mean3.717500887
Median Absolute Deviation (MAD)1
Skewness-0.2384469704
Sum157083
Variance1.387532733
MonotonicityNot monotonic
2021-05-29T15:57:44.890261image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
516865
39.4%
315552
36.3%
25083
 
11.9%
43727
 
8.7%
11028
 
2.4%
(Missing)578
 
1.3%
ValueCountFrequency (%)
11028
 
2.4%
25083
 
11.9%
315552
36.3%
43727
 
8.7%
516865
39.4%
ValueCountFrequency (%)
516865
39.4%
43727
 
8.7%
315552
36.3%
25083
 
11.9%
11028
 
2.4%

RT_KEIN_ANREIZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing578
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean2.486143652
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:44.994159image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.231514876
Coefficient of variation (CV)0.4953514553
Kurtosis-1.257202805
Mean2.486143652
Median Absolute Deviation (MAD)1
Skewness0.2235742372
Sum105052
Variance1.51662889
MonotonicityNot monotonic
2021-05-29T15:57:45.086081image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
112195
28.5%
410567
24.7%
210558
24.6%
37601
17.7%
51334
 
3.1%
(Missing)578
 
1.3%
ValueCountFrequency (%)
112195
28.5%
210558
24.6%
37601
17.7%
410567
24.7%
51334
 
3.1%
ValueCountFrequency (%)
51334
 
3.1%
410567
24.7%
37601
17.7%
210558
24.6%
112195
28.5%

RT_SCHNAEPPCHEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing578
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean4.135013608
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:45.172692image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.204262119
Coefficient of variation (CV)0.2912353461
Kurtosis0.1900730322
Mean4.135013608
Median Absolute Deviation (MAD)0
Skewness-1.188843958
Sum174725
Variance1.450247252
MonotonicityNot monotonic
2021-05-29T15:57:45.261370image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
524282
56.7%
47168
 
16.7%
34856
 
11.3%
24126
 
9.6%
11823
 
4.3%
(Missing)578
 
1.3%
ValueCountFrequency (%)
11823
 
4.3%
24126
 
9.6%
34856
 
11.3%
47168
 
16.7%
524282
56.7%
ValueCountFrequency (%)
524282
56.7%
47168
 
16.7%
34856
 
11.3%
24126
 
9.6%
11823
 
4.3%

RT_UEBERGROESSE
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing6217
Missing (%)14.5%
Infinite0
Infinite (%)0.0%
Mean2.201578545
Minimum0
Maximum5
Zeros277
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:45.350707image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.300816966
Coefficient of variation (CV)0.5908564874
Kurtosis-0.4102020626
Mean2.201578545
Median Absolute Deviation (MAD)1
Skewness0.805670382
Sum80613
Variance1.692124778
MonotonicityNot monotonic
2021-05-29T15:57:45.441540image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
114300
33.4%
29443
22.0%
36219
14.5%
53262
 
7.6%
43115
 
7.3%
0277
 
0.6%
(Missing)6217
14.5%
ValueCountFrequency (%)
0277
 
0.6%
114300
33.4%
29443
22.0%
36219
14.5%
43115
 
7.3%
ValueCountFrequency (%)
53262
 
7.6%
43115
 
7.3%
36219
14.5%
29443
22.0%
114300
33.4%

SEMIO_DOM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.734200266
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:45.525713image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.55819491
Coefficient of variation (CV)0.3291358249
Kurtosis-0.500908479
Mean4.734200266
Median Absolute Deviation (MAD)1
Skewness-0.5581897379
Sum202780
Variance2.427971377
MonotonicityNot monotonic
2021-05-29T15:57:45.615321image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
612113
28.3%
511056
25.8%
38165
19.1%
74209
 
9.8%
43965
 
9.3%
21679
 
3.9%
11646
 
3.8%
ValueCountFrequency (%)
11646
 
3.8%
21679
 
3.9%
38165
19.1%
43965
 
9.3%
511056
25.8%
ValueCountFrequency (%)
74209
 
9.8%
612113
28.3%
511056
25.8%
43965
 
9.3%
38165
19.1%

SEMIO_ERL
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.121004833
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:45.696347image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.821891891
Coefficient of variation (CV)0.3557684381
Kurtosis-1.62954724
Mean5.121004833
Median Absolute Deviation (MAD)1
Skewness-0.2234640092
Sum219348
Variance3.319290062
MonotonicityNot monotonic
2021-05-29T15:57:45.784839image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
717122
40.0%
312784
29.8%
65599
 
13.1%
45428
 
12.7%
2836
 
2.0%
5775
 
1.8%
1289
 
0.7%
ValueCountFrequency (%)
1289
 
0.7%
2836
 
2.0%
312784
29.8%
45428
12.7%
5775
 
1.8%
ValueCountFrequency (%)
717122
40.0%
65599
 
13.1%
5775
 
1.8%
45428
 
12.7%
312784
29.8%

SEMIO_FAM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.754371629
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:45.867037image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.842996668
Coefficient of variation (CV)0.4908935103
Kurtosis-1.346249781
Mean3.754371629
Median Absolute Deviation (MAD)2
Skewness-0.00163620448
Sum160811
Variance3.396636718
MonotonicityNot monotonic
2021-05-29T15:57:45.951016image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
611024
25.7%
37569
17.7%
27241
16.9%
16004
14.0%
45471
12.8%
54539
10.6%
7985
 
2.3%
ValueCountFrequency (%)
16004
14.0%
27241
16.9%
37569
17.7%
45471
12.8%
54539
10.6%
ValueCountFrequency (%)
7985
 
2.3%
611024
25.7%
54539
10.6%
45471
12.8%
37569
17.7%

SEMIO_KAEM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6629001
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:46.030823image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.724022833
Coefficient of variation (CV)0.3697318827
Kurtosis-0.882555238
Mean4.6629001
Median Absolute Deviation (MAD)1
Skewness-0.5788193459
Sum199726
Variance2.972254729
MonotonicityNot monotonic
2021-05-29T15:57:46.126267image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
615530
36.3%
38601
20.1%
57848
18.3%
73794
 
8.9%
23235
 
7.6%
12275
 
5.3%
41550
 
3.6%
ValueCountFrequency (%)
12275
 
5.3%
23235
 
7.6%
38601
20.1%
41550
 
3.6%
57848
18.3%
ValueCountFrequency (%)
73794
 
8.9%
615530
36.3%
57848
18.3%
41550
 
3.6%
38601
20.1%

SEMIO_KRIT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.001377443
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:46.208580image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.867499434
Coefficient of variation (CV)0.3733970202
Kurtosis-0.9711424866
Mean5.001377443
Median Absolute Deviation (MAD)1
Skewness-0.4867083686
Sum214224
Variance3.487554135
MonotonicityNot monotonic
2021-05-29T15:57:46.296593image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
713613
31.8%
39516
22.2%
68137
19.0%
45041
 
11.8%
53615
 
8.4%
12498
 
5.8%
2413
 
1.0%
ValueCountFrequency (%)
12498
 
5.8%
2413
 
1.0%
39516
22.2%
45041
11.8%
53615
 
8.4%
ValueCountFrequency (%)
713613
31.8%
68137
19.0%
53615
 
8.4%
45041
 
11.8%
39516
22.2%

SEMIO_KULT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.175145332
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:46.378606image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.665687779
Coefficient of variation (CV)0.524602059
Kurtosis-0.7486463522
Mean3.175145332
Median Absolute Deviation (MAD)1
Skewness0.3631143376
Sum136001
Variance2.774515776
MonotonicityNot monotonic
2021-05-29T15:57:46.463099image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
311114
25.9%
19359
21.8%
47381
17.2%
25761
13.4%
64282
 
10.0%
53995
 
9.3%
7941
 
2.2%
ValueCountFrequency (%)
19359
21.8%
25761
13.4%
311114
25.9%
47381
17.2%
53995
 
9.3%
ValueCountFrequency (%)
7941
 
2.2%
64282
 
10.0%
53995
 
9.3%
47381
17.2%
311114
25.9%

SEMIO_LUST
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.380244204
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:46.543352image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median5
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.533266119
Coefficient of variation (CV)0.2849807669
Kurtosis0.7101308139
Mean5.380244204
Median Absolute Deviation (MAD)1
Skewness-0.9207383944
Sum230452
Variance2.350904993
MonotonicityNot monotonic
2021-05-29T15:57:46.651234image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
514880
34.7%
714404
33.6%
45335
 
12.5%
64515
 
10.5%
11555
 
3.6%
21193
 
2.8%
3951
 
2.2%
ValueCountFrequency (%)
11555
 
3.6%
21193
 
2.8%
3951
 
2.2%
45335
 
12.5%
514880
34.7%
ValueCountFrequency (%)
714404
33.6%
64515
 
10.5%
514880
34.7%
45335
 
12.5%
3951
 
2.2%

SEMIO_MAT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.407256088
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:46.751391image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.797015233
Coefficient of variation (CV)0.527408327
Kurtosis-1.266137162
Mean3.407256088
Median Absolute Deviation (MAD)2
Skewness0.08461637848
Sum145943
Variance3.229263747
MonotonicityNot monotonic
2021-05-29T15:57:46.850229image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
59443
22.0%
19046
21.1%
27295
17.0%
45865
13.7%
35496
12.8%
64672
10.9%
71016
 
2.4%
ValueCountFrequency (%)
19046
21.1%
27295
17.0%
35496
12.8%
45865
13.7%
59443
22.0%
ValueCountFrequency (%)
71016
 
2.4%
64672
10.9%
59443
22.0%
45865
13.7%
35496
12.8%

SEMIO_PFLICHT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.340368408
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:46.945210image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.5705514
Coefficient of variation (CV)0.4701731092
Kurtosis-0.8052317006
Mean3.340368408
Median Absolute Deviation (MAD)1
Skewness0.1591918315
Sum143078
Variance2.4666317
MonotonicityNot monotonic
2021-05-29T15:57:47.045274image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
59606
22.4%
29077
21.2%
48806
20.6%
36869
16.0%
16218
14.5%
71303
 
3.0%
6954
 
2.2%
ValueCountFrequency (%)
16218
14.5%
29077
21.2%
36869
16.0%
48806
20.6%
59606
22.4%
ValueCountFrequency (%)
71303
 
3.0%
6954
 
2.2%
59606
22.4%
48806
20.6%
36869
16.0%

SEMIO_RAT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.190250508
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:47.143750image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.27880199
Coefficient of variation (CV)0.4008468887
Kurtosis0.6222150951
Mean3.190250508
Median Absolute Deviation (MAD)1
Skewness0.4555809547
Sum136648
Variance1.635334531
MonotonicityNot monotonic
2021-05-29T15:57:47.248539image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
413663
31.9%
312479
29.1%
28608
20.1%
14012
 
9.4%
52151
 
5.0%
71056
 
2.5%
6864
 
2.0%
ValueCountFrequency (%)
14012
 
9.4%
28608
20.1%
312479
29.1%
413663
31.9%
52151
 
5.0%
ValueCountFrequency (%)
71056
 
2.5%
6864
 
2.0%
52151
 
5.0%
413663
31.9%
312479
29.1%

SEMIO_REL
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.463847968
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:47.349264image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.095989089
Coefficient of variation (CV)0.6051042391
Kurtosis-0.9540579729
Mean3.463847968
Median Absolute Deviation (MAD)1
Skewness0.5506181158
Sum148367
Variance4.39317026
MonotonicityNot monotonic
2021-05-29T15:57:47.448625image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
19291
21.7%
38404
19.6%
78163
19.1%
27524
17.6%
46092
14.2%
52847
 
6.6%
6512
 
1.2%
ValueCountFrequency (%)
19291
21.7%
27524
17.6%
38404
19.6%
46092
14.2%
52847
 
6.6%
ValueCountFrequency (%)
78163
19.1%
6512
 
1.2%
52847
 
6.6%
46092
14.2%
38404
19.6%

SEMIO_SOZ
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.616580674
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:47.544210image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.681521507
Coefficient of variation (CV)0.4649478772
Kurtosis-1.211719382
Mean3.616580674
Median Absolute Deviation (MAD)1
Skewness0.2339116242
Sum154909
Variance2.827514578
MonotonicityNot monotonic
2021-05-29T15:57:47.638785image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
212718
29.7%
67582
17.7%
47000
16.3%
35997
14.0%
55702
13.3%
12893
 
6.8%
7941
 
2.2%
ValueCountFrequency (%)
12893
 
6.8%
212718
29.7%
35997
14.0%
47000
16.3%
55702
13.3%
ValueCountFrequency (%)
7941
 
2.2%
67582
17.7%
55702
13.3%
47000
16.3%
35997
14.0%

SEMIO_TRADV
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.796115145
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:47.718378image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.331867757
Coefficient of variation (CV)0.4763279363
Kurtosis0.6031976483
Mean2.796115145
Median Absolute Deviation (MAD)1
Skewness0.5348095254
Sum119766
Variance1.773871721
MonotonicityNot monotonic
2021-05-29T15:57:47.805608image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
316448
38.4%
19794
22.9%
48488
19.8%
25444
 
12.7%
6943
 
2.2%
5941
 
2.2%
7775
 
1.8%
ValueCountFrequency (%)
19794
22.9%
25444
 
12.7%
316448
38.4%
48488
19.8%
5941
 
2.2%
ValueCountFrequency (%)
7775
 
1.8%
6943
 
2.2%
5941
 
2.2%
48488
19.8%
316448
38.4%

SEMIO_VERT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.884785096
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:47.889858image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.094340695
Coefficient of variation (CV)0.5391136557
Kurtosis-1.331876835
Mean3.884785096
Median Absolute Deviation (MAD)2
Skewness0.007811952371
Sum166397
Variance4.386262945
MonotonicityNot monotonic
2021-05-29T15:57:47.979068image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
18570
20.0%
46653
15.5%
76197
14.5%
56118
14.3%
25691
13.3%
65684
13.3%
33920
9.2%
ValueCountFrequency (%)
18570
20.0%
25691
13.3%
33920
9.2%
46653
15.5%
56118
14.3%
ValueCountFrequency (%)
76197
14.5%
65684
13.3%
56118
14.3%
46653
15.5%
33920
9.2%

SHOPPER_TYP
Real number (ℝ)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.307356477
Minimum-1
Maximum3
Zeros6092
Zeros (%)14.2%
Negative7332
Negative (%)17.1%
Memory size334.8 KiB
2021-05-29T15:57:48.064181image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q10
median1
Q33
95-th percentile3
Maximum3
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.470658836
Coefficient of variation (CV)1.124910352
Kurtosis-1.305865392
Mean1.307356477
Median Absolute Deviation (MAD)1
Skewness-0.2602733026
Sum55998
Variance2.162837411
MonotonicityNot monotonic
2021-05-29T15:57:48.160869image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313672
31.9%
19160
21.4%
-17332
17.1%
26577
15.4%
06092
14.2%
ValueCountFrequency (%)
-17332
17.1%
06092
14.2%
19160
21.4%
26577
15.4%
313672
31.9%
ValueCountFrequency (%)
313672
31.9%
26577
15.4%
19160
21.4%
06092
14.2%
-17332
17.1%

SOHO_KZ
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing6889
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean0.009180948142
Minimum0
Maximum1
Zeros35614
Zeros (%)83.1%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:48.246953image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0953777302
Coefficient of variation (CV)10.38865798
Kurtosis103.9451038
Mean0.009180948142
Median Absolute Deviation (MAD)0
Skewness10.29268284
Sum330
Variance0.009096911418
MonotonicityNot monotonic
2021-05-29T15:57:48.335924image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
035614
83.1%
1330
 
0.8%
(Missing)6889
 
16.1%
ValueCountFrequency (%)
035614
83.1%
1330
 
0.8%
ValueCountFrequency (%)
1330
 
0.8%
035614
83.1%

STRUKTURTYP
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing7784
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean2.467374247
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:48.417977image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7967876338
Coefficient of variation (CV)0.3229293791
Kurtosis-0.6310561666
Mean2.467374247
Median Absolute Deviation (MAD)0
Skewness-1.037653573
Sum86479
Variance0.6348705333
MonotonicityNot monotonic
2021-05-29T15:57:48.508597image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
323144
54.0%
16763
 
15.8%
25142
 
12.0%
(Missing)7784
 
18.2%
ValueCountFrequency (%)
16763
 
15.8%
25142
 
12.0%
323144
54.0%
ValueCountFrequency (%)
323144
54.0%
25142
 
12.0%
16763
 
15.8%

TITEL_KZ
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing6889
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean0.009486979746
Minimum0
Maximum5
Zeros35698
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:48.592222image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1442365706
Coefficient of variation (CV)15.20363429
Kurtosis679.4086931
Mean0.009486979746
Median Absolute Deviation (MAD)0
Skewness23.54853598
Sum341
Variance0.0208041883
MonotonicityNot monotonic
2021-05-29T15:57:48.684692image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
035698
83.3%
1216
 
0.5%
415
 
< 0.1%
510
 
< 0.1%
35
 
< 0.1%
(Missing)6889
 
16.1%
ValueCountFrequency (%)
035698
83.3%
1216
 
0.5%
35
 
< 0.1%
415
 
< 0.1%
510
 
< 0.1%
ValueCountFrequency (%)
510
 
< 0.1%
415
 
< 0.1%
35
 
< 0.1%
1216
 
0.5%
035698
83.3%

UMFELD_ALT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7763
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean2.864756202
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:48.767593image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.304717603
Coefficient of variation (CV)0.4554375698
Kurtosis-1.09287365
Mean2.864756202
Median Absolute Deviation (MAD)1
Skewness0.04120127084
Sum100467
Variance1.702288023
MonotonicityNot monotonic
2021-05-29T15:57:48.856021image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
39303
21.7%
47476
17.5%
17125
16.6%
26767
15.8%
54399
10.3%
(Missing)7763
18.1%
ValueCountFrequency (%)
17125
16.6%
26767
15.8%
39303
21.7%
47476
17.5%
54399
10.3%
ValueCountFrequency (%)
54399
10.3%
47476
17.5%
39303
21.7%
26767
15.8%
17125
16.6%

UMFELD_JUNG
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7763
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean4.254205874
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:48.940980image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.010633174
Coefficient of variation (CV)0.2375609466
Kurtosis1.412786321
Mean4.254205874
Median Absolute Deviation (MAD)0
Skewness-1.401782611
Sum149195
Variance1.021379413
MonotonicityNot monotonic
2021-05-29T15:57:49.035721image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
519133
44.7%
49159
21.4%
34265
 
10.0%
21586
 
3.7%
1927
 
2.2%
(Missing)7763
18.1%
ValueCountFrequency (%)
1927
 
2.2%
21586
 
3.7%
34265
 
10.0%
49159
21.4%
519133
44.7%
ValueCountFrequency (%)
519133
44.7%
49159
21.4%
34265
 
10.0%
21586
 
3.7%
1927
 
2.2%

UNGLEICHENN_FLAG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing6889
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean0.07124972179
Minimum0
Maximum1
Zeros33383
Zeros (%)77.9%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:49.126871image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2572450971
Coefficient of variation (CV)3.610471601
Kurtosis9.113292795
Mean0.07124972179
Median Absolute Deviation (MAD)0
Skewness3.333584515
Sum2561
Variance0.06617503999
MonotonicityNot monotonic
2021-05-29T15:57:49.227850image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
033383
77.9%
12561
 
6.0%
(Missing)6889
 
16.1%
ValueCountFrequency (%)
033383
77.9%
12561
 
6.0%
ValueCountFrequency (%)
12561
 
6.0%
033383
77.9%

VERDICHTUNGSRAUM
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)0.1%
Missing7784
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean4.43205227
Minimum0
Maximum45
Zeros17366
Zeros (%)40.5%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:49.357139image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile25
Maximum45
Range45
Interquartile range (IQR)4

Descriptive statistics

Standard deviation8.444763988
Coefficient of variation (CV)1.905384566
Kurtosis6.922586346
Mean4.43205227
Median Absolute Deviation (MAD)1
Skewness2.635257093
Sum155339
Variance71.31403882
MonotonicityNot monotonic
2021-05-29T15:57:49.500848image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
017366
40.5%
13684
 
8.6%
22388
 
5.6%
31570
 
3.7%
41368
 
3.2%
6940
 
2.2%
5883
 
2.1%
9535
 
1.2%
7495
 
1.2%
8481
 
1.1%
Other values (36)5339
 
12.5%
(Missing)7784
18.2%
ValueCountFrequency (%)
017366
40.5%
13684
 
8.6%
22388
 
5.6%
31570
 
3.7%
41368
 
3.2%
ValueCountFrequency (%)
4565
0.2%
4467
0.2%
43104
0.2%
4240
 
0.1%
4128
 
0.1%

VERS_TYP
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.054887587
Minimum-1
Maximum2
Zeros0
Zeros (%)0.0%
Negative7332
Negative (%)17.1%
Memory size334.8 KiB
2021-05-29T15:57:49.610360image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q11
median1
Q32
95-th percentile2
Maximum2
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.038729371
Coefficient of variation (CV)0.9846825234
Kurtosis-0.1057559204
Mean1.054887587
Median Absolute Deviation (MAD)1
Skewness-1.026170931
Sum45184
Variance1.078958706
MonotonicityNot monotonic
2021-05-29T15:57:49.715234image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
118486
43.2%
217015
39.7%
-17332
 
17.1%
ValueCountFrequency (%)
-17332
 
17.1%
118486
43.2%
217015
39.7%
ValueCountFrequency (%)
217015
39.7%
118486
43.2%
-17332
 
17.1%

VHA
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing6889
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean1.132400401
Minimum0
Maximum5
Zeros16026
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:49.810679image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.544135993
Coefficient of variation (CV)1.363595414
Kurtosis1.058262824
Mean1.132400401
Median Absolute Deviation (MAD)1
Skewness1.518056367
Sum40703
Variance2.384355966
MonotonicityNot monotonic
2021-05-29T15:57:49.921076image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
016026
37.4%
113239
30.9%
52960
 
6.9%
41774
 
4.1%
31678
 
3.9%
2267
 
0.6%
(Missing)6889
16.1%
ValueCountFrequency (%)
016026
37.4%
113239
30.9%
2267
 
0.6%
31678
 
3.9%
41774
 
4.1%
ValueCountFrequency (%)
52960
 
6.9%
41774
 
4.1%
31678
 
3.9%
2267
 
0.6%
113239
30.9%

VHN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8303
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean2.372400811
Minimum0
Maximum4
Zeros1539
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:50.020333image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.151531347
Coefficient of variation (CV)0.4853865086
Kurtosis-0.9165564957
Mean2.372400811
Median Absolute Deviation (MAD)1
Skewness-0.08973374478
Sum81919
Variance1.326024442
MonotonicityNot monotonic
2021-05-29T15:57:50.128339image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
210862
25.4%
37888
18.4%
47430
17.3%
16811
15.9%
01539
 
3.6%
(Missing)8303
19.4%
ValueCountFrequency (%)
01539
 
3.6%
16811
15.9%
210862
25.4%
37888
18.4%
47430
17.3%
ValueCountFrequency (%)
47430
17.3%
37888
18.4%
210862
25.4%
16811
15.9%
01539
 
3.6%

VK_DHT4A
Real number (ℝ≥0)

MISSING

Distinct11
Distinct (%)< 0.1%
Missing7175
Missing (%)16.8%
Infinite0
Infinite (%)0.0%
Mean4.308682484
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:50.223650image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q37
95-th percentile10
Maximum11
Range10
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.169149267
Coefficient of variation (CV)0.7355262959
Kurtosis-1.234672811
Mean4.308682484
Median Absolute Deviation (MAD)2
Skewness0.4641746885
Sum153639
Variance10.04350708
MonotonicityNot monotonic
2021-05-29T15:57:50.314143image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
110938
25.5%
24410
10.3%
103028
 
7.1%
72994
 
7.0%
62806
 
6.6%
32665
 
6.2%
92349
 
5.5%
42164
 
5.1%
82155
 
5.0%
52144
 
5.0%
(Missing)7175
16.8%
ValueCountFrequency (%)
110938
25.5%
24410
10.3%
32665
 
6.2%
42164
 
5.1%
52144
 
5.0%
ValueCountFrequency (%)
115
 
< 0.1%
103028
7.1%
92349
5.5%
82155
5.0%
72994
7.0%

VK_DISTANZ
Real number (ℝ≥0)

MISSING

Distinct13
Distinct (%)< 0.1%
Missing7175
Missing (%)16.8%
Infinite0
Infinite (%)0.0%
Mean4.488473835
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:50.393745image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q37
95-th percentile11
Maximum13
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.27482938
Coefficient of variation (CV)0.72960866
Kurtosis-0.502728541
Mean4.488473835
Median Absolute Deviation (MAD)3
Skewness0.7172391234
Sum160050
Variance10.72450747
MonotonicityNot monotonic
2021-05-29T15:57:50.490489image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
18524
19.9%
25530
12.9%
64072
9.5%
33474
8.1%
43082
 
7.2%
73000
 
7.0%
81926
 
4.5%
91482
 
3.5%
51221
 
2.9%
101083
 
2.5%
Other values (3)2264
 
5.3%
(Missing)7175
16.8%
ValueCountFrequency (%)
18524
19.9%
25530
12.9%
33474
8.1%
43082
 
7.2%
51221
 
2.9%
ValueCountFrequency (%)
13409
 
1.0%
12881
2.1%
11974
2.3%
101083
2.5%
91482
3.5%

VK_ZG11
Real number (ℝ≥0)

MISSING

Distinct11
Distinct (%)< 0.1%
Missing7175
Missing (%)16.8%
Infinite0
Infinite (%)0.0%
Mean3.090077963
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:50.580826image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile9
Maximum11
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.510134098
Coefficient of variation (CV)0.8123206365
Kurtosis1.070953554
Mean3.090077963
Median Absolute Deviation (MAD)1
Skewness1.351096642
Sum110186
Variance6.300773189
MonotonicityNot monotonic
2021-05-29T15:57:50.672579image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
113396
31.3%
25764
13.5%
35157
 
12.0%
43582
 
8.4%
52190
 
5.1%
61450
 
3.4%
91003
 
2.3%
7966
 
2.3%
8907
 
2.1%
10905
 
2.1%
(Missing)7175
16.8%
ValueCountFrequency (%)
113396
31.3%
25764
13.5%
35157
 
12.0%
43582
 
8.4%
52190
 
5.1%
ValueCountFrequency (%)
11338
 
0.8%
10905
2.1%
91003
2.3%
8907
2.1%
7966
2.3%

W_KEIT_KIND_HH
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing9619
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean4.489281628
Minimum0
Maximum6
Zeros711
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:50.754141image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q36
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.886903173
Coefficient of variation (CV)0.420312943
Kurtosis-0.8660117125
Mean4.489281628
Median Absolute Deviation (MAD)0
Skewness-0.78685764
Sum149107
Variance3.560403585
MonotonicityNot monotonic
2021-05-29T15:57:50.842709image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
618100
42.3%
24721
 
11.0%
43459
 
8.1%
32613
 
6.1%
12165
 
5.1%
51445
 
3.4%
0711
 
1.7%
(Missing)9619
22.5%
ValueCountFrequency (%)
0711
 
1.7%
12165
5.1%
24721
11.0%
32613
6.1%
43459
8.1%
ValueCountFrequency (%)
618100
42.3%
51445
 
3.4%
43459
 
8.1%
32613
 
6.1%
24721
 
11.0%

WOHNDAUER_2008
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing6889
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean8.727437124
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:50.929518image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q19
median9
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.013701608
Coefficient of variation (CV)0.1161511213
Kurtosis18.92412763
Mean8.727437124
Median Absolute Deviation (MAD)0
Skewness-4.317782501
Sum313699
Variance1.02759095
MonotonicityNot monotonic
2021-05-29T15:57:51.022044image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
932421
75.7%
81472
 
3.4%
4481
 
1.1%
6449
 
1.0%
7374
 
0.9%
5361
 
0.8%
3348
 
0.8%
127
 
0.1%
211
 
< 0.1%
(Missing)6889
 
16.1%
ValueCountFrequency (%)
127
 
0.1%
211
 
< 0.1%
3348
0.8%
4481
1.1%
5361
0.8%
ValueCountFrequency (%)
932421
75.7%
81472
 
3.4%
7374
 
0.9%
6449
 
1.0%
5361
 
0.8%

WOHNLAGE
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing7627
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean4.088280407
Minimum0
Maximum8
Zeros122
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:51.114192image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q37
95-th percentile7
Maximum8
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.05397709
Coefficient of variation (CV)0.5024061184
Kurtosis-1.161341184
Mean4.088280407
Median Absolute Deviation (MAD)1
Skewness0.4003864435
Sum143932
Variance4.218821886
MonotonicityNot monotonic
2021-05-29T15:57:51.206643image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
311262
26.3%
79341
21.8%
24954
11.6%
44562
10.7%
12423
 
5.7%
52052
 
4.8%
8490
 
1.1%
0122
 
0.3%
(Missing)7627
17.8%
ValueCountFrequency (%)
0122
 
0.3%
12423
 
5.7%
24954
11.6%
311262
26.3%
44562
10.7%
ValueCountFrequency (%)
8490
 
1.1%
79341
21.8%
52052
 
4.8%
44562
10.7%
311262
26.3%

ZABEOTYP
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.800037354
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:51.303882image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.120623725
Coefficient of variation (CV)0.4002174197
Kurtosis1.132904877
Mean2.800037354
Median Absolute Deviation (MAD)0
Skewness0.254081768
Sum119934
Variance1.255797533
MonotonicityNot monotonic
2021-05-29T15:57:51.409297image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
326753
62.5%
18409
 
19.6%
44199
 
9.8%
61667
 
3.9%
21519
 
3.5%
5286
 
0.7%
ValueCountFrequency (%)
18409
 
19.6%
21519
 
3.5%
326753
62.5%
44199
 
9.8%
5286
 
0.7%
ValueCountFrequency (%)
61667
 
3.9%
5286
 
0.7%
44199
 
9.8%
326753
62.5%
21519
 
3.5%

ANREDE_KZ
Real number (ℝ≥0)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.595475451
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:51.506216image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4908055238
Coefficient of variation (CV)0.3076233629
Kurtosis-1.848707508
Mean1.595475451
Median Absolute Deviation (MAD)0
Skewness-0.3890743066
Sum68339
Variance0.2408900622
MonotonicityNot monotonic
2021-05-29T15:57:51.608163image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
225506
59.5%
117327
40.5%
ValueCountFrequency (%)
117327
40.5%
225506
59.5%
ValueCountFrequency (%)
225506
59.5%
117327
40.5%

ALTERSKATEGORIE_GROB
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.220484206
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size334.8 KiB
2021-05-29T15:57:51.701816image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.069753304
Coefficient of variation (CV)0.3321715729
Kurtosis1.68968059
Mean3.220484206
Median Absolute Deviation (MAD)0
Skewness-0.6295106719
Sum137943
Variance1.144372132
MonotonicityNot monotonic
2021-05-29T15:57:51.797184image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
422740
53.1%
311360
26.5%
15305
 
12.4%
23322
 
7.8%
9106
 
0.2%
ValueCountFrequency (%)
15305
 
12.4%
23322
 
7.8%
311360
26.5%
422740
53.1%
9106
 
0.2%
ValueCountFrequency (%)
9106
 
0.2%
422740
53.1%
311360
26.5%
23322
 
7.8%
15305
 
12.4%